6 Natural language processing and sequential data techniques

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Text, natural language, and sequential data

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Types of sequential tasks

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Traditional approaches

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Making a neural network remember

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The recurrent neural network

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Backpropagation through time

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Creating context with embeddings

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Embeddings

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Word2vec

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Architectures for sequential tasks

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Gated recurrent units

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Long short-term memory

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Attention

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Transformers

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The high-level architecture of the Transformer

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Self-attention

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The encoder and decoder blocks

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Applications and Transformer based architectures

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Transformers for NLP

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Transformers beyond NLP

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Summary and resources

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