PyTorch Recipes: A Problem-Solution Approach to Build, Train and Deploy Neural Network Models 2nd Edition Pradeepta Mishra

PyTorch Recipes: A Problem-Solution Approach to Build, Train and Deploy Neural Network Models 2nd Edition – Ebook Instant Download/Delivery ISBN(s): 9781484289242,1484289242,9781484289259, 1484289250

Product details:

• ISBN-10: 1484289250
• ISBN-13: 9781484289259
• Author: Pradeepta Mishra

his new edition covers also topics such as Scorch, a compatible module equivalent to the Scikit machine learning library, model quantization to reduce parameter size, and preparing a model for deployment within a production system. Distributed parallel processing for balancing PyTorch workloads, using PyTorch for image processing, audio analysis, and model interpretation are also covered in detail. Each chapter includes recipe code snippets to perform specific activities. By the end of this book, you will be able to confidently build neural network models using PyTorch.

Table contents:

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
8. Distributed PyTorch Modelling, Model Optimization, and Deployment
9. Data Augmentation, Feature Engineering, and Extractions for Image and Audio
10. PyTorch Model Interpretability and Interface to Sklearn

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