Mathematical Introduction toDeep Learning:Methods,Implementations,and Theory

Here is a link to an in-depth introduction to deep learning algorithms is intended for students and practionerers alike. At more than 500 pages, it covers a wide variety of topics, including ANNs, approximation, optimization, generalization, error analysis, and more.

Mathematical Introduction to Deep Learning

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