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...
| Main Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
Berkeley, CA
Apress
2021, 2021
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| Edition: | 2nd ed. 2021 |
| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
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.