Deep Learning for Image Recognition - Peng Long
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Présentation Deep Learning For Image Recognition de Peng Long Format Broché
- Livre Technologie
Résumé :
1. Fundamentals of Neural Networks and Convolutional Neural Networks
2. Fundamentals of Deep Learning Optimization
3. Data Process Methods in Deep Learning
4. Image Classification
5. Object Detection
6. Image Segmentation
7. Model Visualization
8. Model Compression
9. Model Deployment and Launch...
Biographie:
Peng Long received the B.S. degree in Electronic science and technology in 2012 from Huazhong University of Science and Technology, and the M.S. degree in electronic circuit and system from university of Chinese Academy of Sciences, in 2015. He is currently CEO of YouSan Educational Technology Co., Ltd., and Most Valuable Professional of Alibaba Cloud and HUAWEI Cloud. He has published five books in China. His current research interests include pattern recognition, computer vision, and image processing...
Sommaire:
Deep Learning for Image Recognition provides a detailed explanation of the fundamental theories underpinning image recognition and code for recognition tasks in specific application scenarios. Readers can manipulate the existing code, thereby deepening their understanding. Chapters include project work enabling readers to apply the skills and knowledge gained from that section of the book. Projects are based on the accessible Pytorch framework, which is straightforward to learn and can be replicated and modified. Readers are presented with current research findings and up to date techniques in image recognition and deep learning....
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