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Title: GitHub - DecPaul/deeplearningbook-chinese: Deep Learning Book Chinese Translation

Open Graph Title: GitHub - DecPaul/deeplearningbook-chinese: Deep Learning Book Chinese Translation

X Title: GitHub - DecPaul/deeplearningbook-chinese: Deep Learning Book Chinese Translation

Description: Deep Learning Book Chinese Translation. Contribute to DecPaul/deeplearningbook-chinese development by creating an account on GitHub.

Open Graph Description: Deep Learning Book Chinese Translation. Contribute to DecPaul/deeplearningbook-chinese development by creating an account on GitHub.

X Description: Deep Learning Book Chinese Translation. Contribute to DecPaul/deeplearningbook-chinese development by creating an account on GitHub.

Opengraph URL: https://github.com/DecPaul/deeplearningbook-chinese

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	https://patch-diff.githubusercontent.com/DecPaul/deeplearningbook-chinese#deep-learning-中文翻译
Deep Learning	http://www.deeplearningbook.org/
	https://patch-diff.githubusercontent.com/DecPaul/deeplearningbook-chinese#面向的读者
PDF	https://github.com/exacity/deeplearningbook-chinese/releases/download/v0.5-beta/dlbook_cn_v0.5-beta.pdf.zip
原版	http://www.deeplearningbook.org/
	https://patch-diff.githubusercontent.com/DecPaul/deeplearningbook-chinese#出版及开源原因
	https://patch-diff.githubusercontent.com/DecPaul/deeplearningbook-chinese#致谢
第一章前言	https://exacity.github.io/deeplearningbook-chinese/Chapter1_introduction/
第二章线性代数	https://exacity.github.io/deeplearningbook-chinese/Chapter2_linear_algebra/
第三章概率与信息论	https://exacity.github.io/deeplearningbook-chinese/Chapter3_probability_and_information_theory/
第四章数值计算	https://exacity.github.io/deeplearningbook-chinese/Chapter4_numerical_computation/
第五章机器学习基础	https://exacity.github.io/deeplearningbook-chinese/Chapter5_machine_learning_basics/
第六章深度前馈网络	https://exacity.github.io/deeplearningbook-chinese/Chapter6_deep_feedforward_networks/
第七章深度学习中的正则化	https://exacity.github.io/deeplearningbook-chinese/Chapter7_regularization/
第八章深度模型中的优化	https://exacity.github.io/deeplearningbook-chinese/Chapter8_optimization_for_training_deep_models/
第九章卷积网络	https://exacity.github.io/deeplearningbook-chinese/Chapter9_convolutional_networks/
第十章序列建模：循环和递归网络	https://exacity.github.io/deeplearningbook-chinese/Chapter10_sequence_modeling_rnn/
第十一章实践方法论	https://exacity.github.io/deeplearningbook-chinese/Chapter11_practical_methodology/
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第十三章线性因子模型	https://exacity.github.io/deeplearningbook-chinese/Chapter13_linear_factor_models/
第十四章自编码器	https://exacity.github.io/deeplearningbook-chinese/Chapter14_autoencoders/
第十五章表示学习	https://exacity.github.io/deeplearningbook-chinese/Chapter15_representation_learning/
第十六章深度学习中的结构化概率模型	https://exacity.github.io/deeplearningbook-chinese/Chapter16_structured_probabilistic_modelling/
第十七章蒙特卡罗方法	https://exacity.github.io/deeplearningbook-chinese/Chapter17_monte_carlo_methods/
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第十九章近似推断	https://exacity.github.io/deeplearningbook-chinese/Chapter19_approximate_inference/
第二十章深度生成模型	https://exacity.github.io/deeplearningbook-chinese/Chapter20_deep_generative_models/
	https://patch-diff.githubusercontent.com/DecPaul/deeplearningbook-chinese#todo
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	https://patch-diff.githubusercontent.com/DecPaul/deeplearningbook-chinese#markdown格式
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Terms	https://docs.github.com/site-policy/github-terms/github-terms-of-service
Privacy	https://docs.github.com/site-policy/privacy-policies/github-privacy-statement
Security	https://github.com/security
Status	https://www.githubstatus.com/
Community	https://github.community/
Docs	https://docs.github.com/
Contact	https://support.github.com?tags=dotcom-footer

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URLs of crawlers that visited me.