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