Deep learning with Python : learn best practices of deep learning models with PyTorch
Master the practical aspects of implementing deep learning solutions with PyTorch, using a hands-on approach to understanding both theory and practice. This updated edition will prepare you for applying deep learning to real world problems with a sound theoretical foundation and practical know-how w...
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| Main Authors | , |
|---|---|
| Format | Electronic eBook |
| Language | English |
| Published |
[Berkeley, CA] :
Apress,
[2021]
|
| Edition | Second edition. |
| Subjects | |
| Online Access | Full text |
| ISBN | 9781484253649 1484253647 9781484253632 |
| Physical Description | 1 online resource (xvii, 306 pages) : illustrations |
Cover
Table of Contents:
- Chapter 1
- Introduction Deep Learning
- Chapter 2
- Introduction to PyTorch
- Chapter 3- Feed Forward Networks
- Chapter 4
- Automatic Differentiation in Deep Learning
- Chapter 5
- Training Deep Neural Networks
- Chapter 6
- Convolutional Neural Networks
- Chapter 7
- Recurrent Neural Networks
- Chapter 8
- Recent advances in Deep Learning.