Neural Networks and Deep Learning

作者：MichaelNielsen

原作名：MichaelNielsen

出版年：2016-1

页数：224

装帧：online

ISBN：9780780354197

内容简介
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http://neuralnetworksanddeeplearning.com/

目录
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Neural Networks and Deep Learning

What this book is about

On the exercises and problems

Using neural nets to recognize handwritten digits

How the backpropagation algorithm works

Improving the way neural networks learn

A visual proof that neural nets can compute any function

Why are deep neural networks hard to train?

Deep learning

Appendix: Is there a simple algorithm for intelligence?

Acknowledgements

Frequently Asked Questions

评论 ······

我没有机器，也不想学习😂

一本非常非常棒的神经网络和深度学习的入门书，真正当然得起深入浅出，通过简洁明了的数学推导，和清晰明了简短的代码，把神经网络和CNN做了非常易懂的介绍，强烈推荐深度学习第一书。

非常好的入门书籍。作者从头到尾都在给你做心灵按摩：don't worry,it's simple.don't panic,it's easy.stop feeling stupid about yourself,just move forward.

QI 看的是他的，没想到，ML看的也是他的…

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