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Lecture Collection | Natural Language Processing with Deep Learning (Winter 2017)

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Lecture 10: Neural Machine Translation and Models with Attention

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Review Session: Midterm Review

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Lecture 8: Recurrent Neural Networks and Language Models

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Lecture 9: Machine Translation and Advanced Recurrent LSTMs and GRUs

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Lecture 6: Dependency Parsing

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Lecture 7: Introduction to TensorFlow

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Lecture 5: Backpropagation and Project Advice

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Lecture 4: Word Window Classification and Neural Networks

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Lecture 2 | Word Vector Representations: word2vec

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Lecture 3 | GloVe: Global Vectors for Word Representation

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