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.
| ISBN-13: | 9781138747951 |
| ISBN-10: | 1138747955 |
| Publisher: | CRC Press |
| Publication date: | 2018 |
| Edition description: | 1 |
| Pages: | 168 |
| Product dimensions: | Height: 8.6614 Inches, Length: 5.5118 Inches, Weight: 0.65697754076 Pounds, Width: 0.59055 Inches |
| Author: | Ragav Venkatesan, Baoxin Li |
| Language: | en |
| Binding: | Paperback |
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