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Convolutional Neural Networks in Visual Computing
| Content Provider | Scilit |
|---|---|
| Author | Venkatesan, Ragav Li, Baoxin |
| Copyright Year | 2017 |
| Description | 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. Book Name: Convolutional Neural Networks in Visual Computing |
| Related Links | https://api.taylorfrancis.com/content/books/mono/download?identifierName=doi&identifierValue=10.4324/9781315154282&type=googlepdf |
| DOI | 10.4324/9781315154282 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2017-10-23 |
| Access Restriction | Open |
| Subject Keyword | Book Name: Convolutional Neural Networks in Visual Computing Cybernetical Science Build Book Convolutional Neural Networks Cnn Deep Learning |
| Content Type | Text |
| Resource Type | Book |
