Mathematics of Deep Learning: An Introduction

✍ Scribed by Leonid Berlyand; Pierre-Emmanuel Jabin

Publisher: de Gruyter
Year: 2023
Tongue: English
Leaves: 160
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

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