July 2018
Intermediate to advanced
310 pages
8h 21m
Chinese
Content preview from 深度学习入门 : 基于Python的理论与实现
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参考文献
Python / NumPy
[1] Bill Lubanovic. Introducing Python
A
. O
’
Reilly Media, 2014.
[2] Wes McKinney. Python for Data Analysis
B
. O
’
Reilly Media.
[3] Scipy Lecture Notes.
计算图（误差反向传播法）
[4] Andrej Karpathy
’
s blog
“
Hacker
’
s guide to Neural Networks
”
.
深度学习的在线课程（资料）
[5] CS231n: Convolutional Neural Networks for Visual Recognition.
参数的更新方法
[6] John Duchi, Elad Hazan, and Yoram Singer（2011）: Adaptive
Subgradient Methods for Online Learning and Stochastic Optimization.
A
中文版名为《Python 语言及其应用》，梁杰等译，人民邮电出版社 2015 年出版。
—
编者注
B
中文版名为《利用Python 进行数据分析》，唐学韬译，机械工业出版社 2013 年出版。
—
编者注
参考文献
280
Journal of Machine Learning Research 12, Jul (2011), 2121 – 2159.
[7] Tieleman, ...
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I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.