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Mathematics of Deep Learning: An Introduction PDF

134 Pages·2023·11 MB·
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by Leonid Berlyand| 2023| 134 pages| 11

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:PDF
Price:FREE
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