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Lecture 13-CNNs
CS224d: Deep NLP Lecture 13: Convolutional Neural Networks (for NLP) Richard Socher richard@metamind.io Overview of today • From RNNs to CNNs • CNN Variant 1: Simple single layer • Application:Sentence classification • More details and tricks • Evaluation • Comparison between sentence models: BoV, RNNs2, CNNs • CNN Variant 2: Complex multi layer 5/12/16 Richard Socher From RNNs to CNNs 5/12/16 Ric
syou6162 2017/09/27
nlp
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Index of /lectures
Index of /lectures NameLast modifiedSizeDescription Parent Directory - CS224D-Lecture7-2.pdf2016-04-19 16:06 77K CS224d-Lecture1.pdf2016-03-31 12:03 11M CS224d-Lecture2.pdf2016-03-31 12:03 5.0M CS224d-Lecture3.pdf2016-04-05 15:18 6.2M CS224d-Lecture 4.pdf2016-04-05 15:21 2.7M CS224d-Lecture4.pdf2016-04-07 13:16 2.6M CS224d-Lecture5.pdf2016-04-12 14:46 2.9M CS224d-Lecture6.pdf2016-04-17 18:52 4.2M
syou6162 2016/05/31
面白そう

ml
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https://cs224d.stanford.edu/lectures/CS224d-Lecture7.pdf
syou6162 2016/05/31
tensorflow

python

ml
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1

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