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The Science of Deep Learning

Af: Iddo Drori Engelsk Hardback

The Science of Deep Learning

Af: Iddo Drori Engelsk Hardback
Tjek vores konkurrenters priser
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.
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Tjek vores konkurrenters priser
Normalpris
kr 478
Fragt: 39 kr
6 - 8 hverdage
20 kr
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Tjek vores konkurrenters priser
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.
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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 360
ISBN-13: 9781108835084
Indbinding: Hardback
Udgave:
ISBN-10: 1108835082
Kategori: Informationsteori
Udg. Dato: 18 aug 2022
Længde: 22mm
Bredde: 176mm
Højde: 251mm
Forlag: Cambridge University Press
Oplagsdato: 18 aug 2022
Forfatter(e): Iddo Drori
Forfatter(e) Iddo Drori

Kategori Informationsteori

ISBN-13 9781108835084

Sprog Engelsk

Indbinding Hardback

Sider 360

Udgave

Længde 22mm

Bredde 176mm

Højde 251mm

Udg. Dato 18 aug 2022

Oplagsdato 18 aug 2022

Forlag Cambridge University Press

Kategori sammenhænge