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 vie
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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 vie
Read Less
Add this copy of Mathematics of Deep Learning: An Introduction to cart. $43.15, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2023 by de Gruyter.
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New. Trade paperback (US). Glued binding. 132 p. Contains: Unspecified, Illustrations, black & white, Illustrations, color. de Gruyter Textbook. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
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Fine. Trade paperback (US). Glued binding. 132 p. Contains: Unspecified, Illustrations, black & white, Illustrations, color. de Gruyter Textbook. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.