Description: This book offers a comprehensive introduction to the central ideas that underpin deep learning. It is intended both for newcomers to machine learning and for those already experienced in the field. Covering key concepts relating to contemporary architectures and techniques, this essential book equips readers with a robust foundation for potential future specialization. The field of deep learning is undergoing rapid evolution, and therefore this book focusses on ideas that are likely to endure the test of time. The book is organized into numerous bite-sized chapters, each exploring a distinct topic, and the narrative follows a linear progression, with each chapter building upon content from its predecessors. This structure is well-suited to teaching a two-semester undergraduate or postgraduate machine learning course, while remaining equally relevant to those engaged in active research or in self-study. A full understanding of machine learning requires some mathematical background and so the book includes a self-contained introduction to probability theory. However, the focus of the book is on conveying a clear understanding of ideas, with emphasis on the real-world practical value of techniques rather than on abstract theory. Complex concepts are therefore presented from multiple complementary perspectives including textual descriptions, diagrams, mathematical formulae, and pseudo-code. Product details Publisher : Springer Language : English Hardcover : 669 pages ISBN-10 : 3031454677 ISBN-13 : 978-3031454677 Item Weight : 3.18 pounds Dimensions : 7.75 x 1.5 x 10.5 inches SHIPPING Shipping All items fast and secure. The majority of orders are shipped using USPS Priority Mail and UPS Ground if requested. There is an option at checkout to add a Signature of Delivery for extra security & peace of mind. This means you need to sign for your parcel. 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Price: 113.95 USD
Location: Chambersburg, PA
End Time: 2024-11-30T16:11:45.000Z
Shipping Cost: 6 USD
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Restocking Fee: No
Return shipping will be paid by: Seller
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money back or replacement (buyer's choice)
Subject: Deep Learning: Foundations and Concepts... Hardcover
ISBN: 3031454677
Item Length: 10in
Item Width: 7in
Author: Hugh Bishop, Christopher M. Bishop
Publication Name: Deep Learning : Foundations and concepts
Format: Hardcover
Language: English
Publisher: Springer International Publishing A&G
Publication Year: 2023
Type: Textbook
Item Weight: 50.9 Oz
Number of Pages: Xx, 649 Pages