PyTorchZeroToAll

Quick 3~4 day lecture materials for HKUST students.

Video Lectures: (RNN TBA)

Slides

Lecture Slides @GoogleDrive

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.

Previous Lectures

cf., http://bit.ly/TF_HKUST (3 day crash course using TensorFlow)

Name		Name	Last commit message	Last commit date
Latest commit History 88 Commits
data		data
slides		slides
.gitignore		.gitignore
.travis.yml		.travis.yml
01_basics.py		01_basics.py
02_manual_gradient.py		02_manual_gradient.py
03_auto_gradient.py		03_auto_gradient.py
05_linear_regression.py		05_linear_regression.py
06_logistic_regression.py		06_logistic_regression.py
07_diabets_logistic.py		07_diabets_logistic.py
08_1_dataset_loader.py		08_1_dataset_loader.py
08_2_dataset_loade_logistic.py		08_2_dataset_loade_logistic.py
09_01_softmax_loss.py		09_01_softmax_loss.py
09_2_softmax_mnist.py		09_2_softmax_mnist.py
10_1_cnn_mnist.py		10_1_cnn_mnist.py
11_1_toy_inception_mnist.py		11_1_toy_inception_mnist.py
12_1_rnn_basics.py		12_1_rnn_basics.py
12_2_hello_rnn.py		12_2_hello_rnn.py
12_3_hello_rnn_seq.py		12_3_hello_rnn_seq.py
12_4_hello_rnn_emb.py		12_4_hello_rnn_emb.py
13_1_rnn_classification_basics.py		13_1_rnn_classification_basics.py
13_2_rnn_classification.py		13_2_rnn_classification.py
13_3_char_rnn.py		13_3_char_rnn.py
13_4_pack_pad.py		13_4_pack_pad.py
14_1_seq2seq.py		14_1_seq2seq.py
14_2_seq2seq_att.py		14_2_seq2seq_att.py
README.md		README.md
name_dataset.py		name_dataset.py
requirements.txt		requirements.txt
seq2seq_models.py		seq2seq_models.py
text_loader.py		text_loader.py

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PyTorchZeroToAll

Video Lectures: (RNN TBA)

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Previous Lectures

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