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)
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)
具体描述
http://neuralnetworksanddeeplearning.com/
用户评价
评分
##神经网络最佳入门
评分##QI 看的是他的，没想到，ML看的也是他的...
评分##我没有机器，也不想学习????
评分##The best story told about all the nitty-gritty of neutral networks. Great book to refresh memory.
评分##非常不错的入门书，讲得非常好，不仅严谨，而且还给了很多自己的思考和启发式的问题，代码写的也很好，图文并茂。更厉害的是，作者竟然是研究物理的？
评分##QI 看的是他的，没想到，ML看的也是他的...
评分##非常好的deep learning入门，直接用python写例子，便于理解。
评分##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。
评分##这也能算本书吗？
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