Hands-On Mathematics for Deep Learning [Deleted]

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Hands-On Mathematics for Deep Learning - You'll begin by learning about core mathematical and modern computational techniques used to design

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English | 2020 | ISBN: 1838647295 | 364 Pages | EPUB | 83 MB​

You'll begin by learning about core mathematical and modern computational techniques used to design and implement DL algorithms. This book will cover essential topics, such as linear algebra, eigenvalues and eigenvectors, the singular value decomposition concept, and gradient algorithms, to help you understand how to train deep neural networks.

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