René's URL Explorer Experiment

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

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

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

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

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

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

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

X: @github

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	https://patch-diff.githubusercontent.com/keepkeen/deeplearningbook-chinese#deep-learning-中文翻译
Deep Learning	http://www.deeplearningbook.org/
	https://patch-diff.githubusercontent.com/keepkeen/deeplearningbook-chinese#面向的读者
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原版	http://www.deeplearningbook.org/
	https://patch-diff.githubusercontent.com/keepkeen/deeplearningbook-chinese#出版及开源原因
地址	http://www.epubit.com.cn/book/details/4278
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	https://patch-diff.githubusercontent.com/keepkeen/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/
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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/
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	https://patch-diff.githubusercontent.com/keepkeen/deeplearningbook-chinese#todo
	https://patch-diff.githubusercontent.com/keepkeen/deeplearningbook-chinese#注意
	https://patch-diff.githubusercontent.com/keepkeen/deeplearningbook-chinese#markdown格式
deeplearningbook-chinese	https://exacity.github.io/deeplearningbook-chinese
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pdf2htmlEX	https://github.com/coolwanglu/pdf2htmlEX
exacity.github.io/deeplearningbook-chinese	https://exacity.github.io/deeplearningbook-chinese
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