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master: Starting to learn attention!
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Chapter-wise code/Readme.md

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* [SMS spam classifier](./Code%20-%20PyTorch/6.%20Natural-Language-Processing/10.%20Text%20Classification/sms-spam-classifier.ipynb)
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* [Siamese Networks](./Code%20-%20PyTorch/6.%20Natural-Language-Processing/13.%20Siamese%20Networks)
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* [Question Duplication](./Code%20-%20PyTorch/6.%20Natural-Language-Processing/13.%20Siamese%20Networks/Question%20Duplication/code/question_duplication_detection.ipynb)
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8. [Attention Models](./Code%20-%20PyTorch/7.%20Attention%20Models/Readme.md)
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* [Neural Machine Translation](./Code%20-%20PyTorch/7.%20Attention%20Models/1.%20NMT/Readme.md)

README.md

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* [SMS spam classifier](./Chapter-wise%20code/Code%20-%20PyTorch/6.%20Natural-Language-Processing/10.%20Text%20Classification/sms-spam-classifier.ipynb)
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* [Siamese Networks](./Chapter-wise%20code/Code%20-%20PyTorch/6.%20Natural-Language-Processing/13.%20Siamese%20Networks)
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* [Question Duplication](./Chapter-wise%20code/Code%20-%20PyTorch/6.%20Natural-Language-Processing/13.%20Siamese%20Networks/Question%20Duplication/Readme.md)
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8. [Attention Models](./Chapter-wise%20code/Code%20-%20PyTorch/7.%20Attention%20Models/Readme.md)
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* [Neural Machine Translation](./Chapter-wise%20code/Code%20-%20PyTorch/7.%20Attention%20Models/1.%20NMT/Readme.md)
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## Theorey List
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This list basically contains summarized notes for each chapter from the book, 'Deep Learning' by 'Goodfellow, Benigo and Courville':
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