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
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(更多)
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
· · · · · · (收起)
With that said, this idea of preferring simpler explanation should make you nervous. People sometimes refer to this idea as "Occam's Razor", and will zealously apply it as though it has the status of some general scientific principle. But, of course, it's not a general scientific principle. There is no a priori logical reason to prefer simple explanations over more complex explanations. Indeed, sometimes the more complex explanation turns out to be correct. (查看原文)
平凡的老鱼
任鱼儿
0 有用 欧阳映月 2022-04-14 02:14:29
非常好的deep learning入门，直接用python写例子，便于理解。
0 有用 lwtwl 2023-05-04 00:24:40 上海
精华在四个公式的推导，很不错
2 有用 jabberwocky 2019-05-23 11:14:29
可能是读过的最好的入门书籍了，不过CNN的介绍篇幅太短也太浅
0 有用 Bellgoes 2022-01-31 04:50:55
The best story told about all the nitty-gritty of neutral networks. Great book to refresh memory.
2 有用 今夕何夕 2017-07-06 17:27:42
挺不错的神经网络的入门书，从理论到代码，看得出经过精心的裁剪。对基本概念和原理介绍得不错，虽然有很多数学公式，但python的代码帮助理解很多细节。激活函数、代价函数、随机梯度下降、反向传播、过度拟合和规范化、权重初始化、超参数优化、卷积网络的局部感受野、混合层、特征映射。