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Title: GitHub - sining1989/DeepLearning-500-questions: 深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,近30万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06 · GitHub

Open Graph Title: GitHub - sining1989/DeepLearning-500-questions: 深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,近30万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06

X Title: GitHub - sining1989/DeepLearning-500-questions: 深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,近30万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06

Description: 深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,近30万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06 - sining1989/DeepLearning-500-questions

Open Graph Description: 深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,近30万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 201...

X Description: 深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,近30万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 201...

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ch01_数学基础https://github.com/sining1989/DeepLearning-500-questions/tree/master/ch01_%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80
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ch04_经典网络https://github.com/sining1989/DeepLearning-500-questions/tree/master/ch04_%E7%BB%8F%E5%85%B8%E7%BD%91%E7%BB%9C
ch05_卷积神经网络(CNN)https://github.com/sining1989/DeepLearning-500-questions/tree/master/ch05_%E5%8D%B7%E7%A7%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C(CNN)
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ch11_迁移学习https://github.com/sining1989/DeepLearning-500-questions/tree/master/ch11_%E8%BF%81%E7%A7%BB%E5%AD%A6%E4%B9%A0
ch12_网络搭建及训练https://github.com/sining1989/DeepLearning-500-questions/tree/master/ch12_%E7%BD%91%E7%BB%9C%E6%90%AD%E5%BB%BA%E5%8F%8A%E8%AE%AD%E7%BB%83
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ch14_超参数调整https://github.com/sining1989/DeepLearning-500-questions/tree/master/ch14_%E8%B6%85%E5%8F%82%E6%95%B0%E8%B0%83%E6%95%B4
ch15_GPU和框架选型https://github.com/sining1989/DeepLearning-500-questions/tree/master/ch15_GPU%E5%92%8C%E6%A1%86%E6%9E%B6%E9%80%89%E5%9E%8B
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ch17_模型压缩、加速及移动端部署https://github.com/sining1989/DeepLearning-500-questions/tree/master/ch17_%E6%A8%A1%E5%9E%8B%E5%8E%8B%E7%BC%A9%E3%80%81%E5%8A%A0%E9%80%9F%E5%8F%8A%E7%A7%BB%E5%8A%A8%E7%AB%AF%E9%83%A8%E7%BD%B2
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ch18_后端架构选型、离线及实时计算https://github.com/sining1989/DeepLearning-500-questions/tree/master/ch18_%E5%90%8E%E7%AB%AF%E6%9E%B6%E6%9E%84%E9%80%89%E5%9E%8B%E3%80%81%E7%A6%BB%E7%BA%BF%E5%8F%8A%E5%AE%9E%E6%97%B6%E8%AE%A1%E7%AE%97
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