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slides |
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.gitignore | ||
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.travis.yml |
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01_basics.py |
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02_manual_gradient.py |
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03_auto_gradient.py |
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05_linear_regression.py | ||
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06_logistic_regression.py | ||
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07_diabets_logistic.py |
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08_1_dataset_loader.py |
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08_2_dataset_loade_logistic.py |
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09_01_softmax_loss.py | ||
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09_2_softmax_mnist.py | ||
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10_1_cnn_mnist.py | ||
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11_1_toy_inception_mnist.py |
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12_1_rnn_basics.py | ||
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12_2_hello_rnn.py | ||
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12_3_hello_rnn_seq.py |
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12_4_hello_rnn_emb.py | ||
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13_1_rnn_classification_basics.py | ||
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13_2_rnn_classification.py | ||
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13_3_char_rnn.py | ||
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13_4_pack_pad.py |
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14_1_seq2seq.py | ||
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14_2_seq2seq_att.py | ||
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README.md |
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name_dataset.py | ||
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requirements.txt |
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seq2seq_models.py | ||
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text_loader.py | ||
Quick 3~4 day lecture materials for HKUST students.
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.
