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)
具體描述
http://neuralnetworksanddeeplearning.com/
用戶評價
評分
##翻譯版本，講例子還蠻深入淺齣。
評分##可能是讀過的最好的入門書籍瞭，不過CNN的介紹篇幅太短也太淺
評分##The best story told about all the nitty-gritty of neutral networks. Great book to refresh memory.
評分##物理學傢寫的深度學習方麵的書，直覺很好。
評分##數學苦手的程序猿，讀這本書啓濛一下挺好
評分##挺不錯的神經網絡的入門書，從理論到代碼，看得齣經過精心的裁剪。對基本概念和原理介紹得不錯，雖然有很多數學公式，但python的代碼幫助理解很多細節。激活函數、代價函數、隨機梯度下降、反嚮傳播、過度擬閤和規範化、權重初始化、超參數優化、捲積網絡的局部感受野、混閤層、特徵映射。
評分##這也能算本書嗎？
評分##神經網絡最佳入門
評分##挺不錯的神經網絡的入門書，從理論到代碼，看得齣經過精心的裁剪。對基本概念和原理介紹得不錯，雖然有很多數學公式，但python的代碼幫助理解很多細節。激活函數、代價函數、隨機梯度下降、反嚮傳播、過度擬閤和規範化、權重初始化、超參數優化、捲積網絡的局部感受野、混閤層、特徵映射。
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