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chapter 12,13,16,17,19
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Chapter12/applications.tex

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Chapter13/linear_factor_models.tex

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Chapter16/structured_probabilistic_modelling.tex

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Chapter17/monte_carlo_methods.tex

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Chapter19/approximate_inference.tex

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dlbook_cn.tex

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%\include{Chapter9/convolutional_networks}
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\include{Chapter10/sequence_modeling_rnn}
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%\include{Chapter11/practical_methodology}
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%\include{Chapter12/applications}
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%\include{Chapter13/linear_factor_models}
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\include{Chapter12/applications}
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\include{Chapter13/linear_factor_models}
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\include{Chapter14/autoencoders}
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%\include{Chapter15/representation_learning}
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%\include{Chapter16/structured_probabilistic_modelling}
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%\include{Chapter17/monte_carlo_methods}
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\include{Chapter16/structured_probabilistic_modelling}
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\include{Chapter17/monte_carlo_methods}
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%\include{Chapter18/confronting_the_partition_function}
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%\include{Chapter19/approximate_inference}
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\include{Chapter19/approximate_inference}
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%\include{Chapter20/deep_generative_models}
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\appendix

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