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Simple PyTorch Tutorials Zero to ALL!

bit.ly/pytorchzeroall
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slides
 
 
.gitignore
 
 
.travis.yml
 
 
01_basics.py
 
 
02_manual_gradient.py
 
 
03_auto_gradient.py
 
 
05_linear_regression.py
 
 
06_logistic_regression.py
 
 
07_diabets_logistic.py
 
 
08_1_dataset_loader.py
 
 
08_2_dataset_loade_logistic.py
 
 
09_01_softmax_loss.py
 
 
09_2_softmax_mnist.py
 
 
10_1_cnn_mnist.py
 
 
11_1_toy_inception_mnist.py
 
 
12_1_rnn_basics.py
 
 
12_2_hello_rnn.py
 
 
12_3_hello_rnn_seq.py
 
 
12_4_hello_rnn_emb.py
 
 
13_1_rnn_classification_basics.py
 
 
13_2_rnn_classification.py
 
 
13_3_char_rnn.py
 
 
13_4_pack_pad.py
 
 
14_1_seq2seq.py
 
 
14_2_seq2seq_att.py
 
 
README.md
 
 
name_dataset.py
 
 
requirements.txt
 
 
seq2seq_models.py
 
 
text_loader.py
 
 

README.md

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PyTorchZeroToAll

Quick 3~4 day lecture materials for HKUST students.

Video Lectures: (RNN TBA)

Slides

If you cannot access the GoogleDoc for somehow, please check out pdf files in slides. However, slides in GoogleDrive are always latest. We really appreciate your comments.

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Simple PyTorch Tutorials Zero to ALL!

bit.ly/pytorchzeroall

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deeplearning pytorch python tutorial basic

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