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Neural Networks and Deep Learning

Neural Networks and Deep Learning
作者:
出版社:
出版年:2016-01
ISBN:9780780354197
行业:其它
浏览数:55

内容简介

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作者简介

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目录

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

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读书文摘

那么有一个较为可信的理由可以解释为什么用10个输出而非4个:如果有4个输出,那么第1个神经元将设法判断数字的最高有效位是什么。数字的最高有效位于数字形状不容易联系到一起。

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