Hands-On Mathematics for Deep Learning: Build a solid mathematical foundation for training efficient deep neural networks-P2P
A comprehensive guide to getting well-versed with the mathematical techniques for building modern deep learning architectures

Hands-On Mathematics for Deep Learning: Build a solid mathematical foundation for training efficient deep neural networks-P2P
English | 2020 | ISBN-13: 978-1838647292 | 364 Pages | True (PDF, EPUB, MOBI) | 271.29 MB
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Hands-On Mathematics for Deep Learning: Build a solid mathematical foundation for training efficient deep neural networks-P2P
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