diff --git a/.travis.yml b/.travis.yml deleted file mode 100644 index 8e2da84..0000000 --- a/.travis.yml +++ /dev/null @@ -1,36 +0,0 @@ -language: node_js -node_js: - - "10" -cache: npm - -notifications: - email: - recipients: - - ishacker.net@gmail.com # 设置通知邮件 - on_success: change - on_failure: always - -install: - - npm install -g gitbook-cli - - gitbook install - -script: - - cd docs # into /docs folder - - gitbook install # install plugins - - gitbook build - -after_script: - - cd _book - - git init - - git remote add origin https://${GH_REF} - - git add . - - git commit -m ":rocket:Updated By Travis-CI With Build $TRAVIS_BUILD_NUMBER For Github Pages" - - git push --force --quiet "https://${TF_STUDYNOTE_TOKEN}@${GH_REF}" master:gh-pages - -branches: - only: - - master - -env: - global: - - GH_REF: github.com/YUbuntu0109/awesome-tensorflow-tutorial.git # 设置 github 地址 \ No newline at end of file diff --git a/docs/CNAME b/CNAME similarity index 100% rename from docs/CNAME rename to CNAME diff --git a/README.md b/README.md deleted file mode 100644 index 019cf7a..0000000 --- a/README.md +++ /dev/null @@ -1,17 +0,0 @@ -
- -
- -

- - 知识共享许可协议 - - - - - - -

- -# Awesome Tensorflow Tutorial -📃 A curated list of awesome TensorFlow tutorial for beginner : *https://tensorflow.studynote.life* diff --git a/docs/README.md b/docs/README.md deleted file mode 100644 index 2b99f8d..0000000 --- a/docs/README.md +++ /dev/null @@ -1,18 +0,0 @@ -

- -

- -

- - 知识共享许可协议 - - - - - - -

- -

- 📃 A curated list of awesome TensorFlow tutorial for beginner -

diff --git a/docs/SUMMARY.md b/docs/SUMMARY.md deleted file mode 100644 index 3c61c30..0000000 --- a/docs/SUMMARY.md +++ /dev/null @@ -1,3 +0,0 @@ -# Summary - -* [简介](README.md) diff --git a/docs/book.json b/docs/book.json deleted file mode 100644 index 001a037..0000000 --- a/docs/book.json +++ /dev/null @@ -1,76 +0,0 @@ -{ - "plugins": [ - "theme-comscore", - "code", - "github", - "-highlight", - "prism", - "prism-themes", - "-lunr", - "-search", - "search-pro", - "edit-link", - "hide-element", - "splitter", - "insert-logo", - "chapter-fold", - "custom-favicon", - "pageview-count", - "tbfed-pagefooter", - "back-to-top-button", - "-sharing", "sharing-plus" - ], - "pluginsConfig": { - "favicon": "favicon.ico", - "github": { - "url": "https://github.com/YUbuntu0109/awesome-tensorflow-tutorial" - }, - "edit-link": { - "base": "//github.com/YUbuntu0109/awesome-tensorflow-tutorial/edit/master/docs", - "label": "edit" - }, - "hide-element": { - "elements": [".gitbook-link"] - }, - "insert-logo": { - "url": "https://tensorflow.studynote.life/tf_logo_social.png", - "style": "background: none; 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+ right: 10px; + } +} \ No newline at end of file diff --git a/gitbook/gitbook-plugin-back-to-top-button/plugin.js b/gitbook/gitbook-plugin-back-to-top-button/plugin.js new file mode 100644 index 0000000..abd3523 --- /dev/null +++ b/gitbook/gitbook-plugin-back-to-top-button/plugin.js @@ -0,0 +1,25 @@ +var gitbook = window.gitbook; + +gitbook.events.on('page.change', function() { + + var back_to_top_button = ['
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+ var value = $(this).hasClass(TOGGLE_CLASSNAME); + map[level] = value; + }) + localStorage.setItem(LS_NAMESPACE, JSON.stringify(map)); + } else { + return $(CHAPTER).map(function(index, element){ + if (map[$(this).data('level')]) { + return this; + } + }) + } + } + gitbook.events.bind('page.change', function() { + init() + }); +}); diff --git a/gitbook/gitbook-plugin-code/plugin.css b/gitbook/gitbook-plugin-code/plugin.css new file mode 100644 index 0000000..a68fcdc --- /dev/null +++ b/gitbook/gitbook-plugin-code/plugin.css @@ -0,0 +1,37 @@ +#code-textarea { + height: 0; + position: fixed; + top: -1000px; + width: 0; +} + +.code-wrapper { + position: relative; +} + +.code-wrapper i { + color: #c1c7cd; + cursor: pointer; + font-size: 12px; + font-weight: bold; + position: absolute; + right: 1em; + top: 1em; +} + +.code-wrapper pre { + background: #f7f8f9; + border-radius: 3px; + counter-reset: line; + font-size: 15px; +} + +.code-wrapper pre> code> span.code-line:before { + counter-increment: line; 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AltStyle によって変換されたページ (->オリジナル) /

+ + diff --git a/docs/logo.png b/logo.png similarity index 100% rename from docs/logo.png rename to logo.png diff --git a/search_plus_index.json b/search_plus_index.json new file mode 100644 index 0000000..f9b2bd0 --- /dev/null +++ b/search_plus_index.json @@ -0,0 +1 @@ +{"./":{"url":"./","title":"简介","keywords":"","body":" 📃 A curated list of awesome TensorFlow tutorial for beginner Copyright © GoogTech 2020 all right reserved,powered by Gitbooklast updated time : 2020年11月24日 04:00:29 "}} \ No newline at end of file diff --git a/docs/sponsor.png b/sponsor.png similarity index 100% rename from docs/sponsor.png rename to sponsor.png diff --git a/tensorflow tutorial for beginner/1. tensorflow intro/1.2 hello tensorflow/.ipynb_checkpoints/helloTensorflow-checkpoint.ipynb b/tensorflow tutorial for beginner/1. tensorflow intro/1.2 hello tensorflow/.ipynb_checkpoints/helloTensorflow-checkpoint.ipynb deleted file mode 100644 index 7fec515..0000000 --- a/tensorflow tutorial for beginner/1. tensorflow intro/1.2 hello tensorflow/.ipynb_checkpoints/helloTensorflow-checkpoint.ipynb +++ /dev/null @@ -1,6 +0,0 @@ -{ - "cells": [], - "metadata": {}, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/tensorflow tutorial for beginner/1. tensorflow intro/1.2 hello tensorflow/helloTensorflow.ipynb b/tensorflow tutorial for beginner/1. tensorflow intro/1.2 hello tensorflow/helloTensorflow.ipynb deleted file mode 100644 index 970186c..0000000 --- a/tensorflow tutorial for beginner/1. tensorflow intro/1.2 hello tensorflow/helloTensorflow.ipynb +++ /dev/null @@ -1,55 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%config IPCompleter.greedy=True #Tab键代码自动提示" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "2.1.0\n" - ] - } - ], - "source": [ - "# import tensorflow as tf\n", - "# print(tf.__version__)\n", - "\n", - "import tensorflow as tf\n", - "print(tf.__version__)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.9" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/tensorflow tutorial for beginner/1. tensorflow intro/1.3 neuron network/.ipynb_checkpoints/My-First-Neural-Network-checkpoint.ipynb b/tensorflow tutorial for beginner/1. tensorflow intro/1.3 neuron network/.ipynb_checkpoints/My-First-Neural-Network-checkpoint.ipynb deleted file mode 100644 index e361014..0000000 --- a/tensorflow tutorial for beginner/1. tensorflow intro/1.3 neuron network/.ipynb_checkpoints/My-First-Neural-Network-checkpoint.ipynb +++ /dev/null @@ -1,1108 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "# 设置 Tab 键代码自动提示\n", - "%config IPCompleter.greedy = True " - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Train on 6 samples\n", - "Epoch 1/500\n", - "6/6 [==============================] - 0s 70ms/sample - loss: 5.5118\n", - "Epoch 2/500\n", - "6/6 [==============================] - 0s 0s/sample - loss: 4.5154\n", - "Epoch 3/500\n", - "6/6 [==============================] - 0s 2ms/sample - loss: 3.7278\n", - "Epoch 4/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 3.1045\n", - "Epoch 5/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 2.6106\n", - "Epoch 6/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 2.2186\n", - "Epoch 7/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 1.9068\n", - "Epoch 8/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 1.6581\n", - "Epoch 9/500\n", - "6/6 [==============================] - 0s 665us/sample - loss: 1.4593\n", - "Epoch 10/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 1.2997\n", - "Epoch 11/500\n", - "6/6 [==============================] - 0s 665us/sample - loss: 1.1710\n", - "Epoch 12/500\n", - "6/6 [==============================] - 0s 665us/sample - loss: 1.0667\n", - "Epoch 13/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.9816\n", - "Epoch 14/500\n", - "6/6 [==============================] - 0s 665us/sample - loss: 0.9118\n", - "Epoch 15/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 0.8540\n", - "Epoch 16/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.8057\n", - "Epoch 17/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 0.7649\n", - "Epoch 18/500\n", - "6/6 [==============================] - 0s 665us/sample - loss: 0.7302\n", - "Epoch 19/500\n", - "6/6 [==============================] - 0s 503us/sample - loss: 0.7002\n", - "Epoch 20/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 0.6741\n", - "Epoch 21/500\n", - "6/6 [==============================] - 0s 831us/sample - loss: 0.6509\n", - "Epoch 22/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.6303\n", - "Epoch 23/500\n", - "6/6 [==============================] - 0s 334us/sample - loss: 0.6116\n", - "Epoch 24/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.5945\n", - "Epoch 25/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.5788\n", - "Epoch 26/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 0.5641\n", - "Epoch 27/500\n", - "6/6 [==============================] - 0s 666us/sample - loss: 0.5503\n", - "Epoch 28/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 0.5373\n", - "Epoch 29/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 0.5249\n", - "Epoch 30/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 0.5130\n", - "Epoch 31/500\n", - "6/6 [==============================] - 0s 830us/sample - loss: 0.5016\n", - "Epoch 32/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.4907\n", - "Epoch 33/500\n", - "6/6 [==============================] - 0s 832us/sample - loss: 0.4801\n", - "Epoch 34/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 0.4698\n", - "Epoch 35/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 0.4598\n", - "Epoch 36/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.4501\n", - "Epoch 37/500\n", - "6/6 [==============================] - 0s 665us/sample - loss: 0.4407\n", - "Epoch 38/500\n", - "6/6 [==============================] - 0s 664us/sample - loss: 0.4315\n", - "Epoch 39/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.4225\n", - "Epoch 40/500\n", - "6/6 [==============================] - 0s 1ms/sample - loss: 0.4137\n", - "Epoch 41/500\n", - "6/6 [==============================] - 0s 998us/sample - loss: 0.4051\n", - "Epoch 42/500\n", - "6/6 [==============================] - 0s 667us/sample - loss: 0.3968\n", - "Epoch 43/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 0.3886\n", - "Epoch 44/500\n", - "6/6 [==============================] - 0s 665us/sample - loss: 0.3805\n", - "Epoch 45/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.3727\n", - "Epoch 46/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 0.3650\n", - "Epoch 47/500\n", - "6/6 [==============================] - 0s 665us/sample - loss: 0.3575\n", - "Epoch 48/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.3501\n", - "Epoch 49/500\n", - "6/6 [==============================] - 0s 666us/sample - loss: 0.3429\n", - "Epoch 50/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.3359\n", - "Epoch 51/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.3290\n", - "Epoch 52/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.3222\n", - "Epoch 53/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.3156\n", - "Epoch 54/500\n", - "6/6 [==============================] - 0s 664us/sample - loss: 0.3091\n", - "Epoch 55/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.3028\n", - "Epoch 56/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 0.2965\n", - "Epoch 57/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.2904\n", - "Epoch 58/500\n", - "6/6 [==============================] - 0s 665us/sample - loss: 0.2845\n", - "Epoch 59/500\n", - "6/6 [==============================] - 0s 665us/sample - loss: 0.2786\n", - "Epoch 60/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 0.2729\n", - "Epoch 61/500\n", - "6/6 [==============================] - 0s 497us/sample - loss: 0.2673\n", - "Epoch 62/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 0.2618\n", - "Epoch 63/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.2564\n", - "Epoch 64/500\n", - "6/6 [==============================] - 0s 665us/sample - loss: 0.2512\n", - "Epoch 65/500\n", - "6/6 [==============================] - 0s 666us/sample - loss: 0.2460\n", - "Epoch 66/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.2409\n", - "Epoch 67/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.2360\n", - "Epoch 68/500\n", - "6/6 [==============================] - 0s 831us/sample - loss: 0.2312\n", - "Epoch 69/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 0.2264\n", - "Epoch 70/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.2218\n", - "Epoch 71/500\n", - "6/6 [==============================] - 0s 831us/sample - loss: 0.2172\n", - "Epoch 72/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.2127\n", - "Epoch 73/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.2084\n", - "Epoch 74/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.2041\n", - "Epoch 75/500\n", - "6/6 [==============================] - 0s 665us/sample - loss: 0.1999\n", - "Epoch 76/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.1958\n", - "Epoch 77/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.1918\n", - "Epoch 78/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 0.1878\n", - "Epoch 79/500\n", - "6/6 [==============================] - 0s 500us/sample - loss: 0.1840\n", - "Epoch 80/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.1802\n", - "Epoch 81/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.1765\n", - "Epoch 82/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.1729\n", - "Epoch 83/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 0.1693\n", - "Epoch 84/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.1658\n", - "Epoch 85/500\n", - "6/6 [==============================] - 0s 664us/sample - loss: 0.1624\n", - "Epoch 86/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 0.1591\n", - "Epoch 87/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 0.1558\n", - "Epoch 88/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.1526\n", - "Epoch 89/500\n", - "6/6 [==============================] - 0s 665us/sample - loss: 0.1495\n", - "Epoch 90/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.1464\n", - "Epoch 91/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 0.1434\n", - "Epoch 92/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.1405\n", - "Epoch 93/500\n", - "6/6 [==============================] - 0s 665us/sample - loss: 0.1376\n", - "Epoch 94/500\n", - "6/6 [==============================] - 0s 1ms/sample - loss: 0.1348\n", - "Epoch 95/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.1320\n", - "Epoch 96/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.1293\n", - "Epoch 97/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.1266\n", - "Epoch 98/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.1240\n", - "Epoch 99/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 0.1215\n", - "Epoch 100/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 0.1190\n", - "Epoch 101/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.1165\n", - "Epoch 102/500\n", - "6/6 [==============================] - 0s 832us/sample - loss: 0.1141\n", - "Epoch 103/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 0.1118\n", - "Epoch 104/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 0.1095\n", - "Epoch 105/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.1072\n", - "Epoch 106/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 0.1050\n", - "Epoch 107/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 0.1029\n", - "Epoch 108/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.1008\n", - "Epoch 109/500\n", - "6/6 [==============================] - 0s 665us/sample - loss: 0.0987\n", - "Epoch 110/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 0.0967\n", - "Epoch 111/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.0947\n", - "Epoch 112/500\n", - "6/6 [==============================] - 0s 664us/sample - loss: 0.0927\n", - "Epoch 113/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.0908\n", - "Epoch 114/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.0890\n", - "Epoch 115/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 0.0871\n", - "Epoch 116/500\n", - "6/6 [==============================] - 0s 664us/sample - loss: 0.0854\n", - "Epoch 117/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.0836\n", - "Epoch 118/500\n", - "6/6 [==============================] - 0s 665us/sample - loss: 0.0819\n", - "Epoch 119/500\n", - "6/6 [==============================] - 0s 666us/sample - loss: 0.0802\n", - "Epoch 120/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.0786\n", - "Epoch 121/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.0769\n", - "Epoch 122/500\n", - "6/6 [==============================] - 0s 665us/sample - loss: 0.0754\n", - "Epoch 123/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.0738\n", - "Epoch 124/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.0723\n", - "Epoch 125/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.0708\n", - "Epoch 126/500\n", - "6/6 [==============================] - 0s 997us/sample - loss: 0.0694\n", - "Epoch 127/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.0679\n", - "Epoch 128/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.0665\n", - "Epoch 129/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.0652\n", - "Epoch 130/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 0.0638\n", - "Epoch 131/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.0625\n", - "Epoch 132/500\n", - "6/6 [==============================] - 0s 665us/sample - loss: 0.0612\n", - "Epoch 133/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.0600\n", - "Epoch 134/500\n", - "6/6 [==============================] - 0s 997us/sample - loss: 0.0587\n", - "Epoch 135/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.0575\n", - "Epoch 136/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.0564\n", - "Epoch 137/500\n", - "6/6 [==============================] - 0s 666us/sample - loss: 0.0552\n", - "Epoch 138/500\n", - "6/6 [==============================] - 0s 666us/sample - loss: 0.0541\n", - "Epoch 139/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.0530\n", - "Epoch 140/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.0519\n", - "Epoch 141/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 0.0508\n", - "Epoch 142/500\n", - "6/6 [==============================] - 0s 666us/sample - loss: 0.0498\n", - "Epoch 143/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 0.0487\n", - "Epoch 144/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.0477\n", - "Epoch 145/500\n", - "6/6 [==============================] - 0s 665us/sample - loss: 0.0468\n", - "Epoch 146/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.0458\n", - "Epoch 147/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.0449\n", - "Epoch 148/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.0439\n", - "Epoch 149/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.0430\n", - "Epoch 150/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.0421\n", - "Epoch 151/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.0413\n", - "Epoch 152/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.0404\n", - "Epoch 153/500\n", - "6/6 [==============================] - 0s 664us/sample - loss: 0.0396\n", - "Epoch 154/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.0388\n", - "Epoch 155/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 0.0380\n", - "Epoch 156/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.0372\n", - "Epoch 157/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 0.0364\n", - "Epoch 158/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.0357\n", - "Epoch 159/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 0.0350\n", - "Epoch 160/500\n", - "6/6 [==============================] - 0s 664us/sample - loss: 0.0342\n", - "Epoch 161/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 0.0335\n", - "Epoch 162/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.0329\n", - "Epoch 163/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 0.0322\n", - "Epoch 164/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 0.0315\n", - "Epoch 165/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.0309\n", - "Epoch 166/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.0302\n", - "Epoch 167/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.0296\n", - "Epoch 168/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.0290\n", - "Epoch 169/500\n", - "6/6 [==============================] - 0s 665us/sample - loss: 0.0284\n", - "Epoch 170/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.0278\n", - "Epoch 171/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.0273\n", - "Epoch 172/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.0267\n", - "Epoch 173/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.0262\n", - "Epoch 174/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.0256\n", - "Epoch 175/500\n", - "6/6 [==============================] - 0s 665us/sample - loss: 0.0251\n", - "Epoch 176/500\n", - "6/6 [==============================] - 0s 664us/sample - loss: 0.0246\n", - "Epoch 177/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.0241\n", - "Epoch 178/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.0236\n", - "Epoch 179/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.0231\n", - "Epoch 180/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.0226\n", - "Epoch 181/500\n", - "6/6 [==============================] - 0s 665us/sample - loss: 0.0221\n", - "Epoch 182/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 0.0217\n", - "Epoch 183/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.0212\n", - "Epoch 184/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.0208\n", - "Epoch 185/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.0204\n", - "Epoch 186/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.0200\n", - "Epoch 187/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.0196\n", - "Epoch 188/500\n", - "6/6 [==============================] - 0s 831us/sample - loss: 0.0192\n", - "Epoch 189/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 0.0188\n", - "Epoch 190/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.0184\n", - "Epoch 191/500\n", - "6/6 [==============================] - 0s 665us/sample - loss: 0.0180\n", - "Epoch 192/500\n", - "6/6 [==============================] - 0s 665us/sample - loss: 0.0176\n", - "Epoch 193/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.0173\n", - "Epoch 194/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.0169\n", - "Epoch 195/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.0166\n", - "Epoch 196/500\n", - "6/6 [==============================] - 0s 831us/sample - loss: 0.0162\n", - "Epoch 197/500\n", - "6/6 [==============================] - 0s 665us/sample - loss: 0.0159\n", - "Epoch 198/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 0.0156\n", - "Epoch 199/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 0.0152\n", - "Epoch 200/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.0149\n", - "Epoch 201/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.0146\n", - "Epoch 202/500\n", - "6/6 [==============================] - 0s 500us/sample - loss: 0.0143\n", - "Epoch 203/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.0140\n", - "Epoch 204/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.0137\n", - "Epoch 205/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.0135\n", - "Epoch 206/500\n", - "6/6 [==============================] - 0s 832us/sample - loss: 0.0132\n", - "Epoch 207/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.0129\n", - "Epoch 208/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.0126\n", - "Epoch 209/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.0124\n", - "Epoch 210/500\n", - "6/6 [==============================] - 0s 831us/sample - loss: 0.0121\n", - "Epoch 211/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.0119\n", - "Epoch 212/500\n", - "6/6 [==============================] - 0s 665us/sample - loss: 0.0116\n", - "Epoch 213/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 0.0114\n", - "Epoch 214/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.0112\n", - "Epoch 215/500\n", - "6/6 [==============================] - 0s 665us/sample - loss: 0.0109\n", - "Epoch 216/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.0107\n", - "Epoch 217/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 0.0105\n", - "Epoch 218/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 0.0103\n", - "Epoch 219/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.0101\n", - "Epoch 220/500\n", - "6/6 [==============================] - 0s 665us/sample - loss: 0.0099\n", - "Epoch 221/500\n", - "6/6 [==============================] - 0s 665us/sample - loss: 0.0097\n", - "Epoch 222/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.0095\n", - "Epoch 223/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.0093\n", - "Epoch 224/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 0.0091\n", - "Epoch 225/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.0089\n", - "Epoch 226/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 0.0087\n", - "Epoch 227/500\n", - "6/6 [==============================] - 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0s 665us/sample - loss: 0.0045\n", - "Epoch 259/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.0044\n", - "Epoch 260/500\n", - "6/6 [==============================] - 0s 166us/sample - loss: 0.0043\n", - "Epoch 261/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.0042\n", - "Epoch 262/500\n", - "6/6 [==============================] - 0s 497us/sample - loss: 0.0041\n", - "Epoch 263/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 0.0040\n", - "Epoch 264/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.0040\n", - "Epoch 265/500\n", - "6/6 [==============================] - 0s 0s/sample - loss: 0.0039\n", - "Epoch 266/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.0038\n", - "Epoch 267/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.0037\n", - "Epoch 268/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 0.0036\n", - "Epoch 269/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.0036\n", - "Epoch 270/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 0.0035\n", - "Epoch 271/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.0034\n", - "Epoch 272/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.0034\n", - "Epoch 273/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.0033\n", - "Epoch 274/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.0032\n", - "Epoch 275/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.0031\n", - "Epoch 276/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.0031\n", - "Epoch 277/500\n", - "6/6 [==============================] - 0s 496us/sample - loss: 0.0030\n", - "Epoch 278/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.0030\n", - "Epoch 279/500\n", - 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0s 332us/sample - loss: 0.0024\n", - "Epoch 290/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.0023\n", - "Epoch 291/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.0023\n", - "Epoch 292/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.0022\n", - "Epoch 293/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 0.0022\n", - "Epoch 294/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 0.0021\n", - "Epoch 295/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 0.0021\n", - "Epoch 296/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.0020\n", - "Epoch 297/500\n", - "6/6 [==============================] - 0s 665us/sample - loss: 0.0020\n", - "Epoch 298/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.0020\n", - "Epoch 299/500\n", - "6/6 [==============================] - 0s 166us/sample - loss: 0.0019\n", - "Epoch 300/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 0.0019\n", - "Epoch 301/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.0018\n", - "Epoch 302/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.0018\n", - "Epoch 303/500\n", - "6/6 [==============================] - 0s 0s/sample - loss: 0.0018\n", - "Epoch 304/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.0017\n", - "Epoch 305/500\n", - "6/6 [==============================] - 0s 166us/sample - loss: 0.0017\n", - "Epoch 306/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.0017\n", - "Epoch 307/500\n", - "6/6 [==============================] - 0s 666us/sample - loss: 0.0016\n", - "Epoch 308/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 0.0016\n", - "Epoch 309/500\n", - "6/6 [==============================] - 0s 341us/sample - loss: 0.0016\n", - "Epoch 310/500\n", - "6/6 [==============================] - 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"Epoch 321/500\n", - "6/6 [==============================] - 0s 1ms/sample - loss: 0.0012\n", - "Epoch 322/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.0012\n", - "Epoch 323/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 0.0012\n", - "Epoch 324/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.0011\n", - "Epoch 325/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.0011\n", - "Epoch 326/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 0.0011\n", - "Epoch 327/500\n", - "6/6 [==============================] - 0s 0s/sample - loss: 0.0011\n", - "Epoch 328/500\n", - "6/6 [==============================] - 0s 665us/sample - loss: 0.0010\n", - "Epoch 329/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.0010\n", - "Epoch 330/500\n", - "6/6 [==============================] - 0s 174us/sample - loss: 0.0010\n", - "Epoch 331/500\n", - "6/6 [==============================] - 0s 1ms/sample - loss: 9.8475e-04\n", - "Epoch 332/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 9.6452e-04\n", - "Epoch 333/500\n", - "6/6 [==============================] - 0s 166us/sample - loss: 9.4471e-04\n", - "Epoch 334/500\n", - "6/6 [==============================] - 0s 0s/sample - loss: 9.2531e-04\n", - "Epoch 335/500\n", - "6/6 [==============================] - 0s 665us/sample - loss: 9.0630e-04\n", - "Epoch 336/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 8.8769e-04\n", - "Epoch 337/500\n", - "6/6 [==============================] - 0s 0s/sample - loss: 8.6945e-04\n", - "Epoch 338/500\n", - "6/6 [==============================] - 0s 1ms/sample - loss: 8.5160e-04\n", - "Epoch 339/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 8.3410e-04\n", - "Epoch 340/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 8.1697e-04\n", - "Epoch 341/500\n", - "6/6 [==============================] - 0s 0s/sample - loss: 8.0019e-04\n", - "Epoch 342/500\n", - "6/6 [==============================] - 0s 497us/sample - loss: 7.8375e-04\n", - "Epoch 343/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 7.6765e-04\n", - "Epoch 344/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 7.5189e-04\n", - "Epoch 345/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 7.3644e-04\n", - "Epoch 346/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 7.2132e-04\n", - "Epoch 347/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 7.0650e-04\n", - "Epoch 348/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 6.9199e-04\n", - "Epoch 349/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 6.7778e-04\n", - "Epoch 350/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 6.6385e-04\n", - "Epoch 351/500\n", - "6/6 [==============================] - 0s 0s/sample - loss: 6.5022e-04\n", - "Epoch 352/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 6.3687e-04\n", - "Epoch 353/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 6.2378e-04\n", - "Epoch 354/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 6.1097e-04\n", - "Epoch 355/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 5.9842e-04\n", - "Epoch 356/500\n", - "6/6 [==============================] - 0s 831us/sample - loss: 5.8613e-04\n", - "Epoch 357/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 5.7409e-04\n", - "Epoch 358/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 5.6230e-04\n", - "Epoch 359/500\n", - "6/6 [==============================] - 0s 176us/sample - loss: 5.5074e-04\n", - "Epoch 360/500\n", - "6/6 [==============================] - 0s 1ms/sample - loss: 5.3943e-04\n", - "Epoch 361/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 5.2835e-04\n", - "Epoch 362/500\n", - "6/6 [==============================] - 0s 0s/sample - loss: 5.1750e-04\n", - "Epoch 363/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 5.0687e-04\n", - "Epoch 364/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 4.9646e-04\n", - "Epoch 365/500\n", - "6/6 [==============================] - 0s 0s/sample - loss: 4.8626e-04\n", - "Epoch 366/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 4.7627e-04\n", - "Epoch 367/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 4.6649e-04\n", - "Epoch 368/500\n", - "6/6 [==============================] - 0s 177us/sample - loss: 4.5691e-04\n", - "Epoch 369/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 4.4753e-04\n", - "Epoch 370/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 4.3833e-04\n", - "Epoch 371/500\n", - "6/6 [==============================] - 0s 176us/sample - loss: 4.2933e-04\n", - "Epoch 372/500\n", - "6/6 [==============================] - 0s 0s/sample - loss: 4.2051e-04\n", - "Epoch 373/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 4.1187e-04\n", - "Epoch 374/500\n", - "6/6 [==============================] - 0s 166us/sample - loss: 4.0341e-04\n", - "Epoch 375/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 3.9513e-04\n", - "Epoch 376/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 3.8701e-04\n", - "Epoch 377/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 3.7906e-04\n", - "Epoch 378/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 3.7127e-04\n", - "Epoch 379/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 3.6365e-04\n", - "Epoch 380/500\n", - "6/6 [==============================] - 0s 665us/sample - loss: 3.5618e-04\n", - "Epoch 381/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 3.4886e-04\n", - "Epoch 382/500\n", - "6/6 [==============================] - 0s 175us/sample - loss: 3.4170e-04\n", - "Epoch 383/500\n", - "6/6 [==============================] - 0s 0s/sample - loss: 3.3468e-04\n", - "Epoch 384/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 3.2780e-04\n", - "Epoch 385/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 3.2107e-04\n", - "Epoch 386/500\n", - "6/6 [==============================] - 0s 0s/sample - loss: 3.1448e-04\n", - "Epoch 387/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 3.0802e-04\n", - "Epoch 388/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 3.0169e-04\n", - "Epoch 389/500\n", - "6/6 [==============================] - 0s 341us/sample - loss: 2.9549e-04\n", - "Epoch 390/500\n", - "6/6 [==============================] - 0s 774us/sample - loss: 2.8942e-04\n", - "Epoch 391/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 2.8348e-04\n", - "Epoch 392/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 2.7765e-04\n", - "Epoch 393/500\n", - "6/6 [==============================] - 0s 177us/sample - loss: 2.7195e-04\n", - "Epoch 394/500\n", - "6/6 [==============================] - 0s 935us/sample - loss: 2.6636e-04\n", - "Epoch 395/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 2.6089e-04\n", - "Epoch 396/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 2.5553e-04\n", - "Epoch 397/500\n", - "6/6 [==============================] - 0s 343us/sample - loss: 2.5029e-04\n", - "Epoch 398/500\n", - "6/6 [==============================] - 0s 1ms/sample - loss: 2.4514e-04\n", - "Epoch 399/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 2.4011e-04\n", - "Epoch 400/500\n", - "6/6 [==============================] - 0s 178us/sample - loss: 2.3518e-04\n", - "Epoch 401/500\n", - "6/6 [==============================] - 0s 1ms/sample - loss: 2.3035e-04\n", - "Epoch 402/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 2.2561e-04\n", - "Epoch 403/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 2.2098e-04\n", - "Epoch 404/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 2.1644e-04\n", - "Epoch 405/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 2.1200e-04\n", - "Epoch 406/500\n", - "6/6 [==============================] - 0s 341us/sample - loss: 2.0764e-04\n", - "Epoch 407/500\n", - "6/6 [==============================] - 0s 890us/sample - loss: 2.0338e-04\n", - "Epoch 408/500\n", - "6/6 [==============================] - 0s 500us/sample - loss: 1.9920e-04\n", - "Epoch 409/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 1.9511e-04\n", - "Epoch 410/500\n", - "6/6 [==============================] - 0s 0s/sample - loss: 1.9110e-04\n", - "Epoch 411/500\n", - "6/6 [==============================] - 0s 1ms/sample - loss: 1.8718e-04\n", - "Epoch 412/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 1.8333e-04\n", - "Epoch 413/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 1.7957e-04\n", - "Epoch 414/500\n", - "6/6 [==============================] - 0s 764us/sample - loss: 1.7588e-04\n", - "Epoch 415/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 1.7226e-04\n", - "Epoch 416/500\n", - "6/6 [==============================] - 0s 166us/sample - loss: 1.6872e-04\n", - "Epoch 417/500\n", - "6/6 [==============================] - 0s 0s/sample - loss: 1.6526e-04\n", - "Epoch 418/500\n", - "6/6 [==============================] - 0s 497us/sample - loss: 1.6186e-04\n", - "Epoch 419/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 1.5854e-04\n", - "Epoch 420/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 1.5528e-04\n", - "Epoch 421/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 1.5209e-04\n", - "Epoch 422/500\n", - "6/6 [==============================] - 0s 331us/sample - loss: 1.4897e-04\n", - "Epoch 423/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 1.4591e-04\n", - "Epoch 424/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 1.4291e-04\n", - "Epoch 425/500\n", - "6/6 [==============================] - 0s 665us/sample - loss: 1.3998e-04\n", - "Epoch 426/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 1.3710e-04\n", - "Epoch 427/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 1.3429e-04\n", - "Epoch 428/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 1.3153e-04\n", - "Epoch 429/500\n", - "6/6 [==============================] - 0s 667us/sample - loss: 1.2883e-04\n", - "Epoch 430/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 1.2618e-04\n", - "Epoch 431/500\n", - "6/6 [==============================] - 0s 176us/sample - loss: 1.2359e-04\n", - "Epoch 432/500\n", - "6/6 [==============================] - 0s 870us/sample - loss: 1.2105e-04\n", - "Epoch 433/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 1.1856e-04\n", - "Epoch 434/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 1.1613e-04\n", - "Epoch 435/500\n", - "6/6 [==============================] - 0s 0s/sample - loss: 1.1374e-04\n", - "Epoch 436/500\n", - "6/6 [==============================] - 0s 1ms/sample - loss: 1.1141e-04\n", - "Epoch 437/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 1.0912e-04\n", - "Epoch 438/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 1.0688e-04\n", - "Epoch 439/500\n", - "6/6 [==============================] - 0s 341us/sample - loss: 1.0468e-04\n", - "Epoch 440/500\n", - "6/6 [==============================] - 0s 0s/sample - loss: 1.0253e-04\n", - "Epoch 441/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 1.0043e-04\n", - "Epoch 442/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 9.8362e-05\n", - "Epoch 443/500\n", - "6/6 [==============================] - 0s 340us/sample - loss: 9.6342e-05\n", - "Epoch 444/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 9.4363e-05\n", - "Epoch 445/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 9.2426e-05\n", - "Epoch 446/500\n", - "6/6 [==============================] - 0s 0s/sample - loss: 9.0526e-05\n", - "Epoch 447/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 8.8666e-05\n", - "Epoch 448/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 8.6845e-05\n", - "Epoch 449/500\n", - "6/6 [==============================] - 0s 342us/sample - loss: 8.5061e-05\n", - "Epoch 450/500\n", - "6/6 [==============================] - 0s 1ms/sample - loss: 8.3316e-05\n", - "Epoch 451/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 8.1604e-05\n", - "Epoch 452/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 7.9928e-05\n", - "Epoch 453/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 7.8286e-05\n", - "Epoch 454/500\n", - "6/6 [==============================] - 0s 665us/sample - loss: 7.6678e-05\n", - "Epoch 455/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 7.5102e-05\n", - "Epoch 456/500\n", - "6/6 [==============================] - 0s 342us/sample - loss: 7.3561e-05\n", - "Epoch 457/500\n", - "6/6 [==============================] - 0s 0s/sample - loss: 7.2049e-05\n", - "Epoch 458/500\n", - "6/6 [==============================] - 0s 331us/sample - loss: 7.0568e-05\n", - "Epoch 459/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 6.9119e-05\n", - "Epoch 460/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 6.7700e-05\n", - "Epoch 461/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 6.6309e-05\n", - "Epoch 462/500\n", - "6/6 [==============================] - 0s 665us/sample - loss: 6.4948e-05\n", - "Epoch 463/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 6.3614e-05\n", - "Epoch 464/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 6.2308e-05\n", - "Epoch 465/500\n", - "6/6 [==============================] - 0s 1ms/sample - loss: 6.1027e-05\n", - "Epoch 466/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 5.9775e-05\n", - "Epoch 467/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 5.8546e-05\n", - "Epoch 468/500\n", - "6/6 [==============================] - 0s 11us/sample - loss: 5.7345e-05\n", - "Epoch 469/500\n", - "6/6 [==============================] - 0s 949us/sample - loss: 5.6166e-05\n", - "Epoch 470/500\n", - "6/6 [==============================] - 0s 497us/sample - loss: 5.5013e-05\n", - "Epoch 471/500\n", - "6/6 [==============================] - 0s 838us/sample - loss: 5.3882e-05\n", - "Epoch 472/500\n", - "6/6 [==============================] - 0s 778us/sample - loss: 5.2775e-05\n", - "Epoch 473/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 5.1692e-05\n", - "Epoch 474/500\n", - "6/6 [==============================] - 0s 508us/sample - loss: 5.0630e-05\n", - "Epoch 475/500\n", - "6/6 [==============================] - 0s 0s/sample - loss: 4.9590e-05\n", - "Epoch 476/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 4.8570e-05\n", - "Epoch 477/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 4.7572e-05\n", - "Epoch 478/500\n", - "6/6 [==============================] - 0s 227us/sample - loss: 4.6597e-05\n", - "Epoch 479/500\n", - "6/6 [==============================] - 0s 342us/sample - loss: 4.5640e-05\n", - "Epoch 480/500\n", - "6/6 [==============================] - 0s 706us/sample - loss: 4.4701e-05\n", - "Epoch 481/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 4.3783e-05\n", - "Epoch 482/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 4.2884e-05\n", - "Epoch 483/500\n", - "6/6 [==============================] - 0s 176us/sample - loss: 4.2004e-05\n", - "Epoch 484/500\n", - "6/6 [==============================] - 0s 1ms/sample - loss: 4.1141e-05\n", - "Epoch 485/500\n", - "6/6 [==============================] - 0s 666us/sample - loss: 4.0295e-05\n", - "Epoch 486/500\n", - "6/6 [==============================] - 0s 0s/sample - loss: 3.9468e-05\n", - "Epoch 487/500\n", - "6/6 [==============================] - 0s 665us/sample - loss: 3.8658e-05\n", - "Epoch 488/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 3.7864e-05\n", - "Epoch 489/500\n", - "6/6 [==============================] - 0s 342us/sample - loss: 3.7086e-05\n", - "Epoch 490/500\n", - "6/6 [==============================] - 0s 1ms/sample - loss: 3.6324e-05\n", - "Epoch 491/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 3.5578e-05\n", - "Epoch 492/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 3.4848e-05\n", - "Epoch 493/500\n", - "6/6 [==============================] - 0s 0s/sample - loss: 3.4132e-05\n", - "Epoch 494/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 3.3431e-05\n", - "Epoch 495/500\n", - "6/6 [==============================] - 0s 509us/sample - loss: 3.2744e-05\n", - "Epoch 496/500\n", - "6/6 [==============================] - 0s 0s/sample - loss: 3.2072e-05\n", - "Epoch 497/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 3.1413e-05\n", - "Epoch 498/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 3.0768e-05\n", - "Epoch 499/500\n", - "6/6 [==============================] - 0s 175us/sample - loss: 3.0135e-05\n", - "Epoch 500/500\n", - "6/6 [==============================] - 0s 0s/sample - loss: 2.9517e-05\n" - ] - }, - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 1, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "'''\n", - "Author: GoogTech\n", - "Time: 2020 11 21\n", - "Description: My First Neural Network\n", - "'''\n", - "from tensorflow import keras\n", - "import numpy as np\n", - "# 构建模型\n", - "model = keras.Sequential([keras.layers.Dense(units = 1, input_shape = [1])])\n", - "model.compile(optimizer = 'sgd', loss = 'mean_squared_error')\n", - "# 准备训练所需要的数据\n", - "xs = np.array([-1.0, 0.0, 1.0, 2.0, 3.0, 4.0], dtype = float)\n", - "ys = np.array([-3.0, -1.0, 1.0, 3.0, 5.0, 7.0], dtype = float)\n", - "# 训练模型\n", - "model.fit(xs, ys, epochs = 500)" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[[18.984148]]\n" - ] - } - ], - "source": [ - "# 使用以上所训练出来的模型, 测试 x = 1.0 时 y 的数值\n", - "print(model.predict([10.0]))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.9" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} \ No newline at end of file diff --git a/tensorflow tutorial for beginner/1. tensorflow intro/1.3 neuron network/My-First-Neural-Network.ipynb b/tensorflow tutorial for beginner/1. tensorflow intro/1.3 neuron network/My-First-Neural-Network.ipynb deleted file mode 100644 index cd0c95e..0000000 --- a/tensorflow tutorial for beginner/1. tensorflow intro/1.3 neuron network/My-First-Neural-Network.ipynb +++ /dev/null @@ -1,1094 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "# 设置 Tab 键代码自动提示\n", - "%config IPCompleter.greedy = True " - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Train on 6 samples\n", - "Epoch 1/500\n", - "6/6 [==============================] - 0s 30ms/sample - loss: 7.7335\n", - "Epoch 2/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 6.2800\n", - "Epoch 3/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 5.1324\n", - "Epoch 4/500\n", - "6/6 [==============================] - 0s 166us/sample - loss: 4.2257\n", - "Epoch 5/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 3.5084\n", - "Epoch 6/500\n", - "6/6 [==============================] - 0s 500us/sample - loss: 2.9403\n", - "Epoch 7/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 2.4896\n", - "Epoch 8/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 2.1315\n", - "Epoch 9/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 1.8461\n", - "Epoch 10/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 1.6181\n", - "Epoch 11/500\n", - "6/6 [==============================] - 0s 167us/sample - loss: 1.4354\n", - "Epoch 12/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 1.2883\n", - "Epoch 13/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 1.1693\n", - "Epoch 14/500\n", - "6/6 [==============================] - 0s 338us/sample - loss: 1.0724\n", - "Epoch 15/500\n", - "6/6 [==============================] - 0s 329us/sample - loss: 0.9931\n", - "Epoch 16/500\n", - "6/6 [==============================] - 0s 166us/sample - loss: 0.9276\n", - "Epoch 17/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.8731\n", - "Epoch 18/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.8273\n", - "Epoch 19/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.7884\n", - "Epoch 20/500\n", - "6/6 [==============================] - 0s 166us/sample - loss: 0.7549\n", - "Epoch 21/500\n", - "6/6 [==============================] - 0s 166us/sample - loss: 0.7258\n", - "Epoch 22/500\n", - "6/6 [==============================] - 0s 338us/sample - loss: 0.7002\n", - "Epoch 23/500\n", - "6/6 [==============================] - 0s 160us/sample - loss: 0.6774\n", - "Epoch 24/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.6569\n", - "Epoch 25/500\n", - "6/6 [==============================] - 0s 327us/sample - loss: 0.6382\n", - "Epoch 26/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.6210\n", - "Epoch 27/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.6050\n", - "Epoch 28/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 0.5900\n", - "Epoch 29/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.5759\n", - "Epoch 30/500\n", - "6/6 [==============================] - 0s 334us/sample - loss: 0.5625\n", - "Epoch 31/500\n", - "6/6 [==============================] - 0s 165us/sample - loss: 0.5497\n", - "Epoch 32/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 0.5375\n", - "Epoch 33/500\n", - "6/6 [==============================] - 0s 166us/sample - loss: 0.5257\n", - "Epoch 34/500\n", - "6/6 [==============================] - 0s 166us/sample - loss: 0.5143\n", - "Epoch 35/500\n", - "6/6 [==============================] - 0s 166us/sample - loss: 0.5032\n", - "Epoch 36/500\n", - "6/6 [==============================] - 0s 166us/sample - loss: 0.4925\n", - "Epoch 37/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 0.4821\n", - "Epoch 38/500\n", - "6/6 [==============================] - 0s 166us/sample - loss: 0.4720\n", - "Epoch 39/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 0.4621\n", - "Epoch 40/500\n", - "6/6 [==============================] - 0s 166us/sample - loss: 0.4525\n", - "Epoch 41/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 0.4431\n", - "Epoch 42/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.4339\n", - "Epoch 43/500\n", - "6/6 [==============================] - 0s 166us/sample - loss: 0.4249\n", - "Epoch 44/500\n", - "6/6 [==============================] - 0s 665us/sample - loss: 0.4161\n", - "Epoch 45/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 0.4075\n", - "Epoch 46/500\n", - "6/6 [==============================] - 0s 167us/sample - loss: 0.3991\n", - "Epoch 47/500\n", - "6/6 [==============================] - 0s 166us/sample - loss: 0.3909\n", - "Epoch 48/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 0.3828\n", - "Epoch 49/500\n", - "6/6 [==============================] - 0s 666us/sample - loss: 0.3750\n", - "Epoch 50/500\n", - "6/6 [==============================] - 0s 166us/sample - loss: 0.3673\n", - "Epoch 51/500\n", - "6/6 [==============================] - 0s 166us/sample - loss: 0.3597\n", - "Epoch 52/500\n", - "6/6 [==============================] - 0s 166us/sample - loss: 0.3523\n", - "Epoch 53/500\n", - "6/6 [==============================] - 0s 166us/sample - loss: 0.3451\n", - "Epoch 54/500\n", - "6/6 [==============================] - 0s 328us/sample - loss: 0.3380\n", - "Epoch 55/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.3310\n", - "Epoch 56/500\n", - "6/6 [==============================] - 0s 167us/sample - loss: 0.3242\n", - "Epoch 57/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.3176\n", - "Epoch 58/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.3110\n", - "Epoch 59/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 0.3046\n", - "Epoch 60/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.2984\n", - "Epoch 61/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.2923\n", - "Epoch 62/500\n", - "6/6 [==============================] - 0s 166us/sample - loss: 0.2862\n", - "Epoch 63/500\n", - "6/6 [==============================] - 0s 166us/sample - loss: 0.2804\n", - "Epoch 64/500\n", - "6/6 [==============================] - 0s 167us/sample - loss: 0.2746\n", - "Epoch 65/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.2690\n", - "Epoch 66/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 0.2634\n", - "Epoch 67/500\n", - "6/6 [==============================] - 0s 168us/sample - loss: 0.2580\n", - "Epoch 68/500\n", - "6/6 [==============================] - 0s 166us/sample - loss: 0.2527\n", - "Epoch 69/500\n", - "6/6 [==============================] - 0s 166us/sample - loss: 0.2475\n", - "Epoch 70/500\n", - "6/6 [==============================] - 0s 167us/sample - loss: 0.2425\n", - "Epoch 71/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.2375\n", - "Epoch 72/500\n", - "6/6 [==============================] - 0s 166us/sample - loss: 0.2326\n", - "Epoch 73/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 0.2278\n", - "Epoch 74/500\n", - "6/6 [==============================] - 0s 166us/sample - loss: 0.2231\n", - "Epoch 75/500\n", - "6/6 [==============================] - 0s 166us/sample - loss: 0.2186\n", - "Epoch 76/500\n", - "6/6 [==============================] - 0s 166us/sample - loss: 0.2141\n", - "Epoch 77/500\n", - "6/6 [==============================] - 0s 500us/sample - loss: 0.2097\n", - "Epoch 78/500\n", - "6/6 [==============================] - 0s 166us/sample - loss: 0.2054\n", - "Epoch 79/500\n", - "6/6 [==============================] - 0s 166us/sample - loss: 0.2011\n", - "Epoch 80/500\n", - "6/6 [==============================] - 0s 166us/sample - loss: 0.1970\n", - 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0s 333us/sample - loss: 0.0017\n", - "Epoch 310/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 0.0017\n", - "Epoch 311/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.0016\n", - "Epoch 312/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.0016\n", - "Epoch 313/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.0016\n", - "Epoch 314/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.0015\n", - "Epoch 315/500\n", - "6/6 [==============================] - 0s 831us/sample - loss: 0.0015\n", - "Epoch 316/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.0015\n", - "Epoch 317/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.0014\n", - "Epoch 318/500\n", - "6/6 [==============================] - 0s 997us/sample - loss: 0.0014\n", - "Epoch 319/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.0014\n", - "Epoch 320/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 0.0014\n", - "Epoch 321/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 0.0013\n", - "Epoch 322/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.0013\n", - "Epoch 323/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 0.0013\n", - "Epoch 324/500\n", - "6/6 [==============================] - 0s 665us/sample - loss: 0.0012\n", - "Epoch 325/500\n", - "6/6 [==============================] - 0s 831us/sample - loss: 0.0012\n", - "Epoch 326/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 0.0012\n", - "Epoch 327/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 0.0012\n", - "Epoch 328/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 0.0011\n", - "Epoch 329/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 0.0011\n", - "Epoch 330/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 0.0011\n", - "Epoch 331/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 0.0011\n", - "Epoch 332/500\n", - "6/6 [==============================] - 0s 504us/sample - loss: 0.0011\n", - "Epoch 333/500\n", - "6/6 [==============================] - 0s 0s/sample - loss: 0.0010\n", - "Epoch 334/500\n", - "6/6 [==============================] - 0s 0s/sample - loss: 0.0010\n", - "Epoch 335/500\n", - "6/6 [==============================] - 0s 0s/sample - loss: 9.9090e-04\n", - "Epoch 336/500\n", - "6/6 [==============================] - 0s 0s/sample - loss: 9.7055e-04\n", - "Epoch 337/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 9.5062e-04\n", - "Epoch 338/500\n", - "6/6 [==============================] - 0s 665us/sample - loss: 9.3109e-04\n", - "Epoch 339/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 9.1197e-04\n", - "Epoch 340/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 8.9323e-04\n", - "Epoch 341/500\n", - "6/6 [==============================] - 0s 831us/sample - loss: 8.7488e-04\n", - "Epoch 342/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 8.5692e-04\n", - "Epoch 343/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 8.3932e-04\n", - "Epoch 344/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 8.2207e-04\n", - "Epoch 345/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 8.0519e-04\n", - "Epoch 346/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 7.8865e-04\n", - "Epoch 347/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 7.7245e-04\n", - "Epoch 348/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 7.5658e-04\n", - "Epoch 349/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 7.4104e-04\n", - "Epoch 350/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 7.2582e-04\n", - "Epoch 351/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 7.1091e-04\n", - "Epoch 352/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 6.9631e-04\n", - "Epoch 353/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 6.8201e-04\n", - "Epoch 354/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 6.6800e-04\n", - "Epoch 355/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 6.5428e-04\n", - "Epoch 356/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 6.4084e-04\n", - "Epoch 357/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 6.2768e-04\n", - "Epoch 358/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 6.1478e-04\n", - "Epoch 359/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 6.0216e-04\n", - "Epoch 360/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 5.8979e-04\n", - "Epoch 361/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 5.7767e-04\n", - "Epoch 362/500\n", - "6/6 [==============================] - 0s 306us/sample - loss: 5.6580e-04\n", - "Epoch 363/500\n", - "6/6 [==============================] - 0s 0s/sample - loss: 5.5418e-04\n", - "Epoch 364/500\n", - "6/6 [==============================] - 0s 0s/sample - loss: 5.4280e-04\n", - "Epoch 365/500\n", - "6/6 [==============================] - 0s 0s/sample - loss: 5.3165e-04\n", - "Epoch 366/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 5.2073e-04\n", - "Epoch 367/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 5.1004e-04\n", - "Epoch 368/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 4.9956e-04\n", - "Epoch 369/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 4.8930e-04\n", - "Epoch 370/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 4.7925e-04\n", - "Epoch 371/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 4.6941e-04\n", - "Epoch 372/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 4.5976e-04\n", - "Epoch 373/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 4.5032e-04\n", - "Epoch 374/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 4.4107e-04\n", - "Epoch 375/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 4.3201e-04\n", - "Epoch 376/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 4.2314e-04\n", - "Epoch 377/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 4.1445e-04\n", - "Epoch 378/500\n", - "6/6 [==============================] - 0s 0s/sample - loss: 4.0593e-04\n", - "Epoch 379/500\n", - "6/6 [==============================] - 0s 1ms/sample - loss: 3.9760e-04\n", - "Epoch 380/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 3.8943e-04\n", - "Epoch 381/500\n", - "6/6 [==============================] - 0s 175us/sample - loss: 3.8143e-04\n", - "Epoch 382/500\n", - "6/6 [==============================] - 0s 780us/sample - loss: 3.7360e-04\n", - "Epoch 383/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 3.6592e-04\n", - "Epoch 384/500\n", - "6/6 [==============================] - 0s 666us/sample - loss: 3.5840e-04\n", - "Epoch 385/500\n", - "6/6 [==============================] - 0s 832us/sample - loss: 3.5104e-04\n", - "Epoch 386/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 3.4383e-04\n", - "Epoch 387/500\n", - "6/6 [==============================] - 0s 0s/sample - loss: 3.3677e-04\n", - "Epoch 388/500\n", - "6/6 [==============================] - 0s 2ms/sample - loss: 3.2985e-04\n", - "Epoch 389/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 3.2307e-04\n", - "Epoch 390/500\n", - "6/6 [==============================] - 0s 176us/sample - loss: 3.1644e-04\n", - "Epoch 391/500\n", - "6/6 [==============================] - 0s 1ms/sample - loss: 3.0994e-04\n", - "Epoch 392/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 3.0357e-04\n", - "Epoch 393/500\n", - "6/6 [==============================] - 0s 510us/sample - loss: 2.9734e-04\n", - "Epoch 394/500\n", - "6/6 [==============================] - 0s 1ms/sample - loss: 2.9123e-04\n", - "Epoch 395/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 2.8525e-04\n", - "Epoch 396/500\n", - "6/6 [==============================] - 0s 343us/sample - loss: 2.7939e-04\n", - "Epoch 397/500\n", - "6/6 [==============================] - 0s 1ms/sample - loss: 2.7365e-04\n", - "Epoch 398/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 2.6803e-04\n", - "Epoch 399/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 2.6253e-04\n", - "Epoch 400/500\n", - "6/6 [==============================] - 0s 0s/sample - loss: 2.5714e-04\n", - "Epoch 401/500\n", - "6/6 [==============================] - 0s 495us/sample - loss: 2.5185e-04\n", - "Epoch 402/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 2.4668e-04\n", - "Epoch 403/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 2.4162e-04\n", - "Epoch 404/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 2.3665e-04\n", - "Epoch 405/500\n", - "6/6 [==============================] - 0s 665us/sample - loss: 2.3179e-04\n", - "Epoch 406/500\n", - "6/6 [==============================] - 0s 497us/sample - loss: 2.2703e-04\n", - "Epoch 407/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 2.2237e-04\n", - "Epoch 408/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 2.1780e-04\n", - "Epoch 409/500\n", - "6/6 [==============================] - 0s 166us/sample - loss: 2.1333e-04\n", - "Epoch 410/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 2.0895e-04\n", - "Epoch 411/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 2.0465e-04\n", - "Epoch 412/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 2.0045e-04\n", - "Epoch 413/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 1.9633e-04\n", - "Epoch 414/500\n", - "6/6 [==============================] - 0s 665us/sample - loss: 1.9230e-04\n", - "Epoch 415/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 1.8835e-04\n", - "Epoch 416/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 1.8448e-04\n", - "Epoch 417/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 1.8069e-04\n", - "Epoch 418/500\n", - "6/6 [==============================] - 0s 908us/sample - loss: 1.7698e-04\n", - "Epoch 419/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 1.7335e-04\n", - "Epoch 420/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 1.6978e-04\n", - "Epoch 421/500\n", - "6/6 [==============================] - 0s 343us/sample - loss: 1.6630e-04\n", - "Epoch 422/500\n", - "6/6 [==============================] - 0s 667us/sample - loss: 1.6288e-04\n", - "Epoch 423/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 1.5954e-04\n", - "Epoch 424/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 1.5626e-04\n", - "Epoch 425/500\n", - "6/6 [==============================] - 0s 606us/sample - loss: 1.5305e-04\n", - "Epoch 426/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 1.4991e-04\n", - "Epoch 427/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 1.4683e-04\n", - "Epoch 428/500\n", - "6/6 [==============================] - 0s 831us/sample - loss: 1.4381e-04\n", - "Epoch 429/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 1.4086e-04\n", - "Epoch 430/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 1.3796e-04\n", - "Epoch 431/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 1.3513e-04\n", - "Epoch 432/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 1.3236e-04\n", - "Epoch 433/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 1.2963e-04\n", - "Epoch 434/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 1.2697e-04\n", - "Epoch 435/500\n", - "6/6 [==============================] - 0s 665us/sample - loss: 1.2436e-04\n", - "Epoch 436/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 1.2181e-04\n", - "Epoch 437/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 1.1931e-04\n", - "Epoch 438/500\n", - "6/6 [==============================] - 0s 664us/sample - loss: 1.1686e-04\n", - "Epoch 439/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 1.1446e-04\n", - "Epoch 440/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 1.1211e-04\n", - "Epoch 441/500\n", - "6/6 [==============================] - 0s 665us/sample - loss: 1.0980e-04\n", - "Epoch 442/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 1.0755e-04\n", - "Epoch 443/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 1.0534e-04\n", - "Epoch 444/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 1.0318e-04\n", - "Epoch 445/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 1.0105e-04\n", - "Epoch 446/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 9.8981e-05\n", - "Epoch 447/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 9.6947e-05\n", - "Epoch 448/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 9.4955e-05\n", - "Epoch 449/500\n", - "6/6 [==============================] - 0s 665us/sample - loss: 9.3005e-05\n", - "Epoch 450/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 9.1095e-05\n", - "Epoch 451/500\n", - "6/6 [==============================] - 0s 832us/sample - loss: 8.9224e-05\n", - "Epoch 452/500\n", - "6/6 [==============================] - 0s 665us/sample - loss: 8.7391e-05\n", - "Epoch 453/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 8.5596e-05\n", - "Epoch 454/500\n", - "6/6 [==============================] - 0s 665us/sample - loss: 8.3838e-05\n", - "Epoch 455/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 8.2114e-05\n", - "Epoch 456/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 8.0429e-05\n", - "Epoch 457/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 7.8775e-05\n", - "Epoch 458/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 7.7158e-05\n", - "Epoch 459/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 7.5574e-05\n", - "Epoch 460/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 7.4021e-05\n", - "Epoch 461/500\n", - "6/6 [==============================] - 0s 665us/sample - loss: 7.2501e-05\n", - "Epoch 462/500\n", - "6/6 [==============================] - 0s 665us/sample - loss: 7.1012e-05\n", - "Epoch 463/500\n", - "6/6 [==============================] - 0s 359us/sample - loss: 6.9554e-05\n", - "Epoch 464/500\n", - "6/6 [==============================] - 0s 871us/sample - loss: 6.8125e-05\n", - "Epoch 465/500\n", - "6/6 [==============================] - 0s 831us/sample - loss: 6.6726e-05\n", - "Epoch 466/500\n", - "6/6 [==============================] - 0s 0s/sample - loss: 6.5354e-05\n", - "Epoch 467/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 6.4012e-05\n", - "Epoch 468/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 6.2697e-05\n", - "Epoch 469/500\n", - "6/6 [==============================] - 0s 264us/sample - loss: 6.1410e-05\n", - "Epoch 470/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 6.0148e-05\n", - "Epoch 471/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 5.8913e-05\n", - "Epoch 472/500\n", - "6/6 [==============================] - 0s 571us/sample - loss: 5.7702e-05\n", - "Epoch 473/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 5.6517e-05\n", - "Epoch 474/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 5.5356e-05\n", - "Epoch 475/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 5.4220e-05\n", - "Epoch 476/500\n", - "6/6 [==============================] - 0s 665us/sample - loss: 5.3106e-05\n", - "Epoch 477/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 5.2015e-05\n", - "Epoch 478/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 5.0946e-05\n", - "Epoch 479/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 4.9899e-05\n", - "Epoch 480/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 4.8875e-05\n", - "Epoch 481/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 4.7870e-05\n", - "Epoch 482/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 4.6887e-05\n", - "Epoch 483/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 4.5924e-05\n", - "Epoch 484/500\n", - "6/6 [==============================] - 0s 498us/sample - loss: 4.4981e-05\n", - "Epoch 485/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 4.4057e-05\n", - "Epoch 486/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 4.3151e-05\n", - "Epoch 487/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 4.2266e-05\n", - "Epoch 488/500\n", - "6/6 [==============================] - 0s 665us/sample - loss: 4.1397e-05\n", - "Epoch 489/500\n", - "6/6 [==============================] - 0s 166us/sample - loss: 4.0547e-05\n", - "Epoch 490/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 3.9713e-05\n", - "Epoch 491/500\n", - "6/6 [==============================] - 0s 166us/sample - loss: 3.8898e-05\n", - "Epoch 492/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 3.8099e-05\n", - "Epoch 493/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 3.7317e-05\n", - "Epoch 494/500\n", - "6/6 [==============================] - 0s 368us/sample - loss: 3.6549e-05\n", - "Epoch 495/500\n", - "6/6 [==============================] - 0s 499us/sample - loss: 3.5799e-05\n", - "Epoch 496/500\n", - "6/6 [==============================] - 0s 333us/sample - loss: 3.5064e-05\n", - "Epoch 497/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 3.4344e-05\n", - "Epoch 498/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 3.3638e-05\n", - "Epoch 499/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 3.2947e-05\n", - "Epoch 500/500\n", - "6/6 [==============================] - 0s 332us/sample - loss: 3.2269e-05\n" - ] - }, - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "'''\n", - "Author: GoogTech\n", - "Time: 2020 11 21\n", - "Description: My First Neural Network\n", - "'''\n", - "from tensorflow import keras\n", - "import numpy as np\n", - "# 构建模型\n", - "model = keras.Sequential([keras.layers.Dense(units = 1, input_shape = [1])])\n", - "model.compile(optimizer = 'sgd', loss = 'mean_squared_error')\n", - "# 准备训练所需要的数据\n", - "xs = np.array([-1.0, 0.0, 1.0, 2.0, 3.0, 4.0], dtype = float)\n", - "ys = np.array([-3.0, -1.0, 1.0, 3.0, 5.0, 7.0], dtype = float)\n", - "# 训练模型\n", - "model.fit(xs, ys, epochs = 500)" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[[18.983427]]\n" - ] - } - ], - "source": [ - "# 使用以上所训练出来的模型, 测试 x = 1.0 时 y 的数值\n", - "print(model.predict([10.0]))" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.9" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/tensorflow tutorial for beginner/README.md b/tensorflow tutorial for beginner/README.md deleted file mode 100644 index 0a75dbc..0000000 --- a/tensorflow tutorial for beginner/README.md +++ /dev/null @@ -1 +0,0 @@ -> Tensorflow tutorial for beginner of grow with google : https://www.icourse163.org/course/youdao-1460578162 \ No newline at end of file diff --git a/docs/tf_logo_social.png b/tf_logo_social.png similarity index 100% rename from docs/tf_logo_social.png rename to tf_logo_social.png