Deep Learning with PyTorch: Build, train, and tune neural networks using Python tools 1st Edition

Complete eTextbook Content:
PART 1 – CORE PYTORCH
1 Introducing deep learning and the PyTorch Library
2 Pretrained networks
3 It starts with a tensor
4 Real-world data representation using tensors
5 The mechanics of learning
6 Using a neural network to fit the data
7 Telling birds from airplanes: Learning from images
8 Using convolutions to generalize
PART 2 – LEARNING FROM IMAGES IN THE REAL WORLD: EARLY DETECTION OF LUNG CANCER
9 Using PyTorch to fight cancer
10 Combining data sources into a unified dataset
11 Training a classification model to detect suspected tumors
12 Improving training with metrics and augmentation
13 Using segmentation to find suspected nodules
14 End-to-end nodule analysis, and where to go next
PART 3 – DEPLOYMENT
15 Deploying to production

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Name: Deep Learning with PyTorch: Build, train, and tune neural networks using Python tools 1st Edition
Author: Eli Stevens, Luca Antiga, and Thomas Viehmann
Edition: 1
ISBN-10: 1617295264
ISBN-13: 978-1617295263
Type: eTextbook

This is a eBook for the actual textbook of Deep Learning with PyTorch: Build, train, and tune neural networks using Python tools 1st Edition, by Eli Stevens, Luca Antiga, and Thomas Viehmann.

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