Mathematics Of Deep Learning: An Introduction (De Gruyter Textbook)

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.

• | Author: Leonid Berlyand, Pierre-Emmanuel Jabin
• | Publisher: De Gruyter
• | Publication Date: Apr 12, 2023
• | Number of Pages: 126 pages
• | Language: English
• | Binding: Paperback
• | ISBN-10: 3111024318
• | ISBN-13: 9783111024318