Neural Networks and Deep Learning: A Textbook

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This book covers both classical and modern models in deep learning. The chapters of this book span three categories:
The basics of neural networks: Many traditional machine learning models can be understood as special cases of neural networks. An emphasis is placed in the first two chapters on understanding the relationship between traditional machine learning and neural networks. Support vector machines, linear/logistic regression, singular value decomposition, matrix factorization, and recommender systems are shown to be special cases of neural networks. These methods are studied together with recent feature engineering methods like word2vec.

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nivastuli 发表于 2018-8-26 20:01
This book covers both classical and modern models in deep learning. The chapters of this book span t ...

thanks for this wonderful information

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现在论坛币还不够，差一个，等够了看看这本书是不是真的。

非常好的书，谢谢分享