The Science of Deep Learning (Hardcover)

The Science of Deep Learning emerged from courses taught by the author that have provided thousands of students with training and experience for their academic studies, and prepared them for careers in deep learning, machine learning, and artificial intelligence in top companies in industry and academia. The book begins by covering the foundations of deep learning, followed by key deep learning architectures. Subsequent parts on generative models and reinforcement learning may be used as part of a deep learning course or as part of a course on each topic. The book includes state-of-the-art topics such as Transformers, graph neural networks, variational autoencoders, and deep reinforcement learning, with a broad range of applications. The appendices provide equations for computing gradients in backpropagation and optimization, and best practices in scientific writing and reviewing. The text presents an up-to-date guide to the field built upon clear visualizations using a unified notation and equations, lowering the barrier to entry for the reader. The accompanying website provides complementary code and hundreds of exercises with solutions.

General

Imprint:	Cambridge UniversityPress
Country of origin:	United Kingdom
Release date:	August 2022
Authors:	Iddo Drori
Dimensions:	250 x 175 x 20mm (L x W x T)
Format:	Hardcover
Pages:	360
ISBN-13:	978-1-108-83508-4
Categories:	Books > Reference & Interdisciplinary > Communication studies > Information theory > General Books > Science & Mathematics > Mathematics > Optimization > General Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	1-108-83508-2
Barcode:	9781108835084

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