Math and Architectures of Deep Learning, Chaudhury, Krishnendu, 9781617296482

Math and Architectures of Deep Learning, Chaudhury, Krishnendu, 9781617296482

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Math and Architectures of Deep Learning by Chaudhury, Krishnendu is a comprehensive guide that delves into the intricate relationship between mathematics and the architectures of deep learning. This book, with the ISBN 9781617296482, explores the fundamental mathematical principles that underpin the complex structures of deep learning models.

Readers will gain a deep understanding of how mathematical concepts such as linear algebra, calculus, probability, and optimization algorithms are used in designing and training deep learning architectures. The book also covers advanced topics like convolutional neural networks, recurrent neural networks, and generative adversarial networks, providing a thorough overview of the latest advancements in the field.

Whether you are a beginner looking to build a strong foundation in deep learning or an experienced practitioner seeking to enhance your knowledge, Math and Architectures of Deep Learning is a valuable resource that will help you navigate the mathematical intricacies of this rapidly evolving field.
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