Hands-On Mathematics for Deep Learning - Build a solid mathematical foundation for training efficient deep neural networks

[ FreeCourseWeb.com ] Hands-On Mathematics for Deep Learning: Build a solid mathematical foundation for training efficient deep neural networks



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English | 2020 | ISBN-13: 978-1838647292 | 364 Pages | True (PDF, EPUB, MOBI) | 271.29 MB



A comprehensive guide to getting well-versed with the mathematical techniques for building modern deep learning architectures

Key Features



Understand linear algebra, calculus, gradient algorithms, and other concepts essential for training deep neural networks

Learn the mathematical concepts needed to understand how deep learning models function

Use deep learning for solving problems related to vision, image, text, and sequence applications



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