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Deep Learning A Comprehensive Guide 1st Edition by Shriram K Vasudevan, Sini Raj Pulari, Subashri Vasudevan ISBN 978-1032028828 1032028823

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Deep Learning A Comprehensive Guide 1st Edition Vasudevan Digital Instant Download

Author(s): Vasudevan, Shriram K, Pulari, Sini Raj, Vasudevan, Subashri
ISBN(s): 9781032028828, 1032028823
Edition: 1
File Details: PDF, 141.79 MB
Year: 2021
Language: english
SKU: EB-36661716 Category: Tags: , , , ,

Deep Learning A Comprehensive Guide 1st Edition by Shriram K Vasudevan, Sini Raj Pulari, Subashri Vasudevan – Ebook PDF Instant Download/Delivery:  978-1032028828, 1032028823
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Product details: 

ISBN 10:  1032028823

ISBN 13:  978-1032028828

Author: Shriram K Vasudevan, Sini Raj Pulari, Subashri Vasudevan

Deep Learning: A Comprehensive Guide provides comprehensive coverage of Deep Learning (DL) and Machine Learning (ML) concepts. DL and ML are the most sought-after domains, requiring a deep understanding – and this book gives no less than that. This book enables the reader to build innovative and useful applications based on ML and DL. Starting with the basics of neural networks, and continuing through the architecture of various types of CNNs, RNNs, LSTM, and more till the end of the book, each and every topic is given the utmost care and shaped professionally and comprehensively.

Key Features

  • Includes the smooth transition from ML concepts to DL concepts
  • Line-by-line explanations have been provided for all the coding-based examples
  • Includes a lot of real-time examples and interview questions that will prepare the reader to take up a job in ML/DL right away
  • Even a person with a non-computer-science background can benefit from this book by following the theory, examples, case studies, and code snippets
  • Every chapter starts with the objective and ends with a set of quiz questions to test the reader’s understanding
  • Includes references to the related YouTube videos that provide additional guidance

AI is a domain for everyone. This book is targeted toward everyone irrespective of their field of specialization. Graduates and researchers in deep learning will find this book useful.

Table of contents: 

  1. Introduction to Deep Learning

  2. The Tools and Prerequisites

  3. Machine Learning: The Fundamentals

  4. The Deep Learning Framework

  5. CNN – Convolutional Neural Networks – A Complete Understanding

  6. CNN Architectures – An Evolution

  7. Recurrent Neural Networks

  8. Autoencoders

  9. Generative Models

  10. Transfer Learning

  11. Intel OpenVino – A Must Know Deep Learning Toolkit

  12. Interview Questions and Answers

 

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Tags: Shriram K Vasudevan, Sini Raj Pulari, Subashri Vasudevan, Deep Learning, A Comprehensive Guide