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Deep learning

By: Contributor(s): Publication details: Pearson India, 2021 Noida :Description: xxiv, 524 p. ; ill., (b & w), 24 cmISBN:
  • 9789354493874
Subject(s): DDC classification:
  • 006.31 DAS
Summary: This book is intended to help readers understand the concepts first and then move-on to hone their programming skills to become deep learning practitioners in the true sense. It covers the basic concepts in deep learning, deep learning architectures, including recurrent neural networks as well as such recent developments as Generative Adversarial Networks. Fundamentals of Neural Networks as well as Training Deep Neural Networks is also included. The book is a must-have for students who are looking for a complete reference text on deep learning as well as industry practitioners from diverse fields who want to start their journey in the field of data science.
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Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
Books DAU 006.31 DAS Checked out 18/01/2026 034223

Includes index.

This book is intended to help readers understand the concepts first and then move-on to hone their programming skills to become deep learning practitioners in the true sense. It covers the basic concepts in deep learning, deep learning architectures, including recurrent neural networks as well as such recent developments as Generative Adversarial Networks. Fundamentals of Neural Networks as well as Training Deep Neural Networks is also included.
The book is a must-have for students who are looking for a complete reference text on deep learning as well as industry practitioners from diverse fields who want to start their journey in the field of data science.

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