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About Mathematics of Deep Learning: An Introduction
Provides a mathematical perspective to some key elements of so-called deep neural networks (DNNs). Much of the interest on deep learning has focused on the implementation of DNN-based algorithms. This textbook focuses on a complementary point of view that emphasizes the underlying mathematical ideas.
Detailed Information
Author: | Leonid Berlyand |
---|---|
Publication Year: | 2023 |
ISBN: | 3111025551 |
Pages: | 134 |
File Size: | 11 |
Format: | |
Price: | FREE |
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