|Deep Learning with PyTorch (Manning)|
|Wednesday, 26 August 2020|
This book shows how to use PyTorch for deep learning projects. Authors.Eli Stevens, Luca Antiga and Thomas Viehmann show how to create neural networks and deep learning systems with PyTorch. This practical book quickly gets you to work building a real-world example from scratch: a tumor image classifier. Along the way, it covers best practices for the entire DL pipeline, including the PyTorch Tensor API, loading data in Python, monitoring training, and visualizing results. After covering the basics, the book moves on to larger projects, and the centerpiece of the book is a neural network designed for cancer detection.
Author: Eli Stevens, Luca Antiga and Thomas Viehmann
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