This book introduces readers to both basic and advanced concepts in deep network models. Various deep architecture models and their components are discussed in detail, and subsequently illustrated by algorithms and selected applications. In addition, the book explains in detail the transfer learning approach for faster training of deep models;
Publisher
Springer
Publication Date
Mar 2019
ISBN
9789811367939
Pages
87 illus., 53 in color/149
Item Type
Book
Format
Hardcover
Unavailable
This product is currently out of stock. Please check back later.
Recently Viewed Items
Related Products
Your cart is full
You can add up to 100 items to your cart. To add more items, please remove some first.