项目作者： kenttw

项目描述：
個人的 deep learning 學習筆記

高级语言： Jupyter Notebook

项目主页：

项目地址: git://github.com/kenttw/deeplearning_homework.git

创建时间： 2016-07-25T20:43:57Z
项目社区：https://github.com/kenttw/deeplearning_homework
开源协议：MIT License
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Deep Learning 學習筆記

上課的教材來自台大電機系李宏毅教授 (Hung-yi Lee)

一些基本知識

entropy : https://github.com/texib/deeplearning_homework/blob/master/Entropy.ipynb
KL_Divergence

Linear Regression

Simple Python Version :https://github.com/kenttw/deeplearning_homework/blob/master/GradientDescent.ipynb
Keras Version:https://github.com/kenttw/deeplearning_homework/blob/master/GradientDescent-Keras.ipynb
Tensorflow Version:https://github.com/kenttw/deeplearning_homework/blob/master/GradientDescent-Tensorflow.ipynb

Logistic Regression

ProbabilisticGenerativeModel

https://github.com/kenttw/deeplearning_homework/blob/master/ProbabilisticGenerativeModel.ipynb

MiKu 影像壓縮還原

上課的教材來自台大電機系李宏毅教授 (Hung-yi Lee)
Full Connect : Homework1-muki
- 失敗的作品 : https://github.com/texib/deeplearning_homework/blob/master/muki.ipynb
- 成功的作品 : https://github.com/texib/deeplearning_homework/blob/master/muki-batch.ipynb
- 完美版 : https://github.com/texib/deeplearning_homework/blob/master/muki-batch-keras-softmax.ipynb
RNN
- scan function 介紹 : https://github.com/texib/deeplearning_homework/blob/master/theano-scan.ipynb

Recurrent Neural Networks

LSTM 來預測隔日網站流量 : https://github.com/kenttw/deeplearning_homework/blob/master/Keras_LSTM2.ipynb

Unsupervised Learning

PCA&AutoEncoder : https://github.com/texib/deeplearning_homework/blob/master/PCAandAutoencoders.ipynb

Tensorflow 工具面的東西

export model to tensorflow lite : https://github.com/kenttw/deeplearning_homework/blob/master/tensorflow-lite/export_model.ipynb

Theano DNN_1649942128638.pdf

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