Deep Learning

A Comprehensive Guide

Shriram K Vasudevan, Sini Raj Pulari, Subashri Vasudevan

$116

Paperback

Not in-store but you can order this
How long will it take?

Availability Information

We source books from suppliers in Australia and overseas. For books we don't currently have in stock, the time it takes to get them from our suppliers can vary widely - from a few days to a few months - so we check each book with each supplier to determine the expected time it will take to be supplied to us.

We then advise you accordingly. If the time taken to get any book is too long for you, you can let us know and we will cancel or adjust your order, and refund as required.

To find out the anticipated arrival time for specific items prior to ordering, please contact us by phone or email:

Phone +61 2 9264 3111, or 1800 4 BOOKS (1800 4 26657) if outside Sydney:
option 1 Abbey's Bookshop (Crime, History, Science, Kids & more) • info@abbeys.com.au
option 2 Language Book Centre (ESL & Foreign Languages) • language@abbeys.com.au
option 3 Galaxy Bookshop (Sci-fi, Fantasy, Romance, Graphic Novels) • sf@galaxybooks.com.au

QTY:

English

Chapman & Hall/CRC
04 October 2024

Data capture & analysis; Data mining; Mathematical theory of computation; Machine learning

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.

By: Shriram K Vasudevan, Sini Raj Pulari, Subashri Vasudevan
Imprint: Chapman & Hall/CRC
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 156mm,
Weight: 566g
ISBN: 9781032028859
ISBN 10: 1032028858
Pages: 290
Publication Date: 04 October 2024
Audience: College/higher education , Professional and scholarly , Primary , Undergraduate
Format: Paperback
Publisher's Status: Active

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.