Commit 60ecdef

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xyliao

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finish autoencoder

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.gitignore
README.md
chapter3_NN/optimizer
- adam.ipynb
chapter6_GAN/autoencoder
- autoencoder.ipynb
- conv_autoencoder.py
- conv_autoencoder
  - image_20.png
  - image_40.png
- simple_autoencoder.py
- simple_autoencoder

13 files changed

+483

-192

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`‎.gitignore`

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`@@ -4,4 +4,5 @@ __pycache__`
`4`	`4`	`img`
`5`	`5`	`chapter3_MLP/3_Neural_Network/.desktop`
`6`	`6`	`.vscode`
`7`		`-data`
	`7`	`+data`
	`8`	`+mnist`

`‎README.md`

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`@@ -17,7 +17,7 @@ Learn Deep Learning with PyTorch`
`17`	`17`	`## 课程目录`
`18`	`18`	`### part1: 深度学习基础`
`19`	`19`	`- Chapter 2: PyTorch基础`
`20`		`- - [Tensor和Variable](https://github.com/SherlockLiao/code-of-learn-deep-learning-with-pytorch/blob/master/chapter2_PyTorch-Basics/Tensor-and-Variable.ipynb)`
	`20`	`+ - [Tensor和Variable](https://github.com/SherlockLiao/code-of-learn-deep-learning-with-pytorch/blob/master/chapter2_PyTorch-Basics/Tensor-and-Variable.ipynb)`
`21`	`21`	`- [自动求导机制](https://github.com/SherlockLiao/code-of-learn-deep-learning-with-pytorch/blob/master/chapter2_PyTorch-Basics/autograd.ipynb)`
`22`	`22`	`- [动态图与静态图](https://github.com/SherlockLiao/code-of-learn-deep-learning-with-pytorch/blob/master/chapter2_PyTorch-Basics/dynamic-graph.ipynb)`
`23`	`23`
`@@ -28,7 +28,6 @@ Learn Deep Learning with PyTorch`
`28`	`28`	`- [多层神经网络,Sequential 和 Module](https://github.com/SherlockLiao/code-of-learn-deep-learning-with-pytorch/blob/master/chapter3_NN/nn-sequential-module.ipynb)`
`29`	`29`	`- [深度神经网络](https://github.com/SherlockLiao/code-of-learn-deep-learning-with-pytorch/blob/master/chapter3_NN/deep-nn.ipynb)`
`30`	`30`	`- [参数初始化方法](https://github.com/SherlockLiao/code-of-learn-deep-learning-with-pytorch/blob/master/chapter3_NN/param_initialize.ipynb)`
`31`		`-`
`32`	`31`	`- 优化算法`
`33`	`32`	`- [SGD](https://github.com/SherlockLiao/code-of-learn-deep-learning-with-pytorch/blob/master/chapter3_NN/optimizer/sgd.ipynb)`
`34`	`33`	`- [动量法](https://github.com/SherlockLiao/code-of-learn-deep-learning-with-pytorch/blob/master/chapter3_NN/optimizer/momentum.ipynb)`
`@@ -59,7 +58,7 @@ Learn Deep Learning with PyTorch`
`59`	`58`	`- [Seq-LSTM 做词性预测](https://github.com/SherlockLiao/code-of-learn-deep-learning-with-pytorch/blob/master/chapter5_RNN/nlp/seq-lstm.ipynb)`
`60`	`59`
`61`	`60`	`- Chapter 6: 生成对抗网络`
`62`		`- - 自动编码器`
	`61`	`+ - [自动编码器](https://github.com/SherlockLiao/code-of-learn-deep-learning-with-pytorch/blob/master/chapter6_GAN/autoencoder/autoencoder.ipynb)`
`63`	`62`	`- 变分自动编码器`
`64`	`63`	`- 生成对抗网络的介绍`
`65`	`64`	`- 深度卷积对抗网络(DCGANs)`

`‎chapter3_NN/optimizer/adam.ipynb`

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`97`	`97`	`{`
`98`	`98`	`"cell_type": "code",`
`99`	`99`	`"execution_count": 3,`
`100`		`- "metadata": {`
`101`		`- "collapsed": false`
`102`		`- },`
	`100`	`+ "metadata": {},`
`103`	`101`	`"outputs": [`
`104`	`102`	`{`
`105`	`103`	`"name": "stdout",`
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`162`	`160`	`{`
`163`	`161`	`"cell_type": "code",`
`164`	`162`	`"execution_count": 4,`
`165`		`- "metadata": {`
`166`		`- "collapsed": false`
`167`		`- },`
	`163`	`+ "metadata": {},`
`168`	`164`	`"outputs": [`
`169`	`165`	`{`
`170`	`166`	`"data": {`
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`205`	`201`	`{`
`206`	`202`	`"cell_type": "code",`
`207`	`203`	`"execution_count": 5,`
`208`		`- "metadata": {`
`209`		`- "collapsed": false`
`210`		`- },`
	`204`	`+ "metadata": {},`
`211`	`205`	`"outputs": [`
`212`	`206`	`{`
`213`	`207`	`"name": "stdout",`
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`277`	`271`	`],`
`278`	`272`	`"metadata": {`
`279`	`273`	`"kernelspec": {`
`280`		`- "display_name": "mx",`
	`274`	`+ "display_name": "Python 3",`
`281`	`275`	`"language": "python",`
`282`		`- "name": "mx"`
	`276`	`+ "name": "python3"`
`283`	`277`	`},`
`284`	`278`	`"language_info": {`
`285`	`279`	`"codemirror_mode": {`
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`291`	`285`	`"name": "python",`
`292`	`286`	`"nbconvert_exporter": "python",`
`293`	`287`	`"pygments_lexer": "ipython3",`
`294`		`- "version": "3.6.0"`
	`288`	`+ "version": "3.6.3"`
`295`	`289`	`}`
`296`	`290`	`},`
`297`	`291`	`"nbformat": 4,`