Book description
- Master tensor operations for dynamic graph-based calculations using PyTorch
- Create PyTorch transformations and graph computations for neural networks
- Carry out supervised and unsupervised learning using PyTorch
- Work with deep learning algorithms such as CNN and RNN
- Build LSTM models in PyTorch
- Use PyTorch for text processing
Table of contents
- Cover
- Front Matter
- 1. Introduction to PyTorch, Tensors, and Tensor Operations
- 2. Probability Distributions Using PyTorch
- 3. CNN and RNN Using PyTorch
- 4. Introduction to Neural Networks Using PyTorch
- 5. Supervised Learning Using PyTorch
- 6. Fine-Tuning Deep Learning Models Using PyTorch
- 7. Natural Language Processing Using PyTorch
- Back Matter
Product information
- Title: PyTorch Recipes: A Problem-Solution Approach
- Author(s):
- Release date: January 2019
- Publisher(s): Apress
- ISBN: 9781484242582
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