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Commit 706c2e1

Browse files
author
phani.thontepu
committed
notbooks written
1 parent 48764f6 commit 706c2e1

6 files changed

+1568
-5
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‎src/Boston_housing_price_regression_dataset_keras_dataset.ipynb‎

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‎src/CIFAR10_small_image_classification_keras_dataset.ipynb‎

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" x_test = x_test.transpose(0, 2, 3, 1)\n",
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"\n",
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" return (x_train, y_train), (x_test, y_test)\n",
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"```\n",
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"## Regarding Dataset\n",
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"cifar10(Canadian Institute For Advanced Research) is dataset of 10 objectst namely\n",
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"\n",
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{
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"cell_type": "code",
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"execution_count": 10,
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"metadata": {},
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"metadata": {
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"scrolled": true
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},
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"outputs": [
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{
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"name": "stdout",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.6.7"
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"version": "3.6.5"
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}
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},
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"nbformat": 4,

‎src/IMDB_Movie_reviews_sentiment_classification_keras_dataset.ipynb‎

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‎src/IMDB_Movie_reviews_sentiment_classification_keras_dataset.py‎

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# -*- coding: utf-8 -*-
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# Imports
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import numpy as np
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import pandas as pd
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import matplotlib.pyplot as plt

‎src/Reuters_newswire_topics_classification_keras_dataset.ipynb‎

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‎src/Reuters_newswire_topics_classification_keras_dataset.py‎

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from keras.datasets import reuters
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(x_train, y_train), (x_test, y_test) = reuters.load_data(path="reuters.npz",num_words=10000,skip_top=0,maxlen=None,test_split=0.2,seed=113,start_char=1,oov_char=2,index_from=3)
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#Understanding the data
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#Understanding the data
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print("The number of training samples",len(x_train))
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print("The number of testing samples",len(x_test))
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print("The shape of training samples array",np.shape(x_train))

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