CS 20 : Tensorflow for Deep Learning Research의 Lecture 별 코드를 tensorflow 1.8.0에 맞게 정리
- syllabus : http://web.stanford.edu/class/cs20si/syllabus.html
- github : https://github.com/chiphuyen/stanford-tensorflow-tutorials
- Lec01 Overview of Tensorflow의 example code
- Lec02 Operations의 example code
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Simple usage of tf.data
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Lec03 Linear and Logistic Regression의 example code
- Lec05 Variable sharing and managing experiments의 example code
- Lec07 ConvNet in TensorFlow의 example code
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Presentation
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Lec11 Recurrent Neural Networks의 example code
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many to one, word sentiment classification example
- Lec11_Sequence Classificaion by RNN.ipynb
- Lec11_Sequence Classificaion by LSTM.ipynb
- Lec11_Sequence Classificaion by GRU.ipynb
- Lec11_Sequence Classificaion by Bi-directional RNN.ipynb
- Lec11_Sequence Classificaion by Bi-directional LSTM.ipynb
- Lec11_Sequence Classificaion by Bi-directional GRU.ipynb
- Lec11_Sequence Classificaion by Stacked RNN with Drop out.ipynb
- Lec11_Sequence Classificaion by Stacked LSTM with Drop out.ipynb
- Lec11_Sequence Classificaion by Stacked GRU with Drop out.ipynb
- Lec11_Sequence Classificaion by Stacked Bi-directional RNN with Drop out.ipynb
- Lec11_Sequence Classificaion by Stacked Bi-directional LSTM with Drop out.ipynb
- Lec11_Sequence Classificaion by Stacked Bi-directional GRU with Drop out.ipynb
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many to many, simple pos-tagger example
- Lec11_Sequence to Sequence Classification by RNN.ipynb
- Lec11_Sequence to Sequence Classification by LSTM.ipynb
- Lec11_Sequence to Sequence Classification by GRU.ipynb
- Lec11_Sequence to Sequence Classification by Bi-directional RNN.ipynb
- Lec11_Sequence to Sequence Classification by Bi-directional LSTM.ipynb
- Lec11_Sequence to Sequence Classification by Bi-directional GRU.ipynb
- Lec11_Sequence to Sequence Classification by Stacked RNN with Drop out.ipynb
- Lec11_Sequence to Sequence Classification by Stacked LSTM with Drop out.ipynb
- Lec11_Sequence to Sequence Classification by Stacked GRU with Drop out.ipynb
- Lec11_Sequence to Sequence Classification by Stacked Bi-directional RNN with Drop out.ipynb
- Lec11_Sequence to Sequence Classification by Stacked Bi-directional LSTM with Drop out.ipynb
- Lec11_Sequence to Sequence Classification by Stacked Bi-directional GRU with Drop out.ipynb
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Lec12 Seq2Seq with Attention의 example code
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encoder decoder (many to many), simple neural machine translation example