Isbn: 9781498770392 - convolutional neural networks in visual computing: a concise guide (15 risultati)

hardcover. Condizione: Good.

Condizione: Good. Used Item. Does not include New Access Codes , Cd's or one time use items that come when New. This item is Used.

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Hardcover. Condizione: new. Hardcover. This book covers the fundamentals in designing and deploying techniques using deep architectures. It is intended to serve as a beginner's guide to engineers or students who want to have a quick start on learning and/or building deep learning systems. This book provides a good theoretical and practical understanding and a complete toolkit of basic information and knowledge required to understand and build convolutional neural networks (CNN) from scratch. The book focuses explicitly on convolutional neural networks, filtering out other material that co-occur in many deep learning books on CNN topics. This book covers the fundamentals in designing and deploying techniques using deep architectures. It is intended to serve as a beginner's guide to engineers or students who want to have a quick start on learning and/or building deep learning systems. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: New. Series: Data-Enabled Engineering. Num Pages: 226 pages, 5 black & white tables, 23 black & white halftones, 37 black & white line drawings. BIC Classification: TJF; TJFM. Category: (G) General (US: Trade); (U) Tertiary Education (US: College). Dimension: 235 x 156. . . 2017. 1st Edition. hardcover. . . . .…

Condizione: New.

Einband - fest (Hardcover). Condizione: New. Ragav Venkatesan is currently completing his Ph.D. study in Computer Science in the School of Computing, Informatics and Decision Systems Engineering at Arizona State University. He has been a Research Associate with the Visual Representation and Process.

Hardcover. Condizione: Brand New. concise edition. 226 pages. 9.25x6.50x0.50 inches. In Stock.

Condizione: New. Series: Data-Enabled Engineering. Num Pages: 226 pages, 5 black & white tables, 23 black & white halftones, 37 black & white line drawings. BIC Classification: TJF; TJFM. Category: (G) General (US: Trade); (U) Tertiary Education (US: College). Dimension: 235 x 156. . . 2017. 1st Edition. hardcover. . . . . Books ship from the US and Ireland.…

Hardcover. Condizione: new. Hardcover. This book covers the fundamentals in designing and deploying techniques using deep architectures. It is intended to serve as a beginner's guide to engineers or students who want to have a quick start on learning and/or building deep learning systems. This book provides a good theoretical and practical understanding and a complete toolkit of basic information and knowledge required to understand and build convolutional neural networks (CNN) from scratch. The book focuses explicitly on convolutional neural networks, filtering out other material that co-occur in many deep learning books on CNN topics. This book covers the fundamentals in designing and deploying techniques using deep architectures. It is intended to serve as a beginner's guide to engineers or students who want to have a quick start on learning and/or building deep learning systems. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…