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Deep Learning

By: By: Material type: TextTextLanguage: English Publication details: Noida: Pearson Education, 2021Description: 523ISBN:
  • 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.
List(s) this item appears in: New Arrivals for the Month of March 2023 - Computer Science and Data Science | New Arrivals for the Month of September - 2023 | New Arrivals for the Month of November - 2023
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Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode Item holds
Book Book Alliance College of Engineering and Design CSE & IT 006.31 DAS (Browse shelf(Opens below)) 5 Available E13261
Reference Book Reference Book Alliance College of Engineering and Design CSE & IT 006.31 DAS (Browse shelf(Opens below)) 1 Not for loan E13257
Book Book Alliance College of Engineering and Design CSE & IT 006.31 DAS (Browse shelf(Opens below)) 3 Available E13259
Book Book Alliance College of Engineering and Design CSE & IT 006.31 DAS (Browse shelf(Opens below)) 2 Available E13258
Book Book Alliance College of Engineering and Design CSE & IT 006.31 DAS (Browse shelf(Opens below)) 4 Available E13260
Book Book Alliance College of Engineering and Design CSE & IT 006.31 DAS (Browse shelf(Opens below)) Checked out 31/12/2024 E12247
Book Book Alliance School of Liberal Arts 006.31 DAS (Browse shelf(Opens below)) Available LA02178
Total holds: 0

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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