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
Name: Deep Learning with PyTorch: Build, train, and tune neural networks using Python tools 1st Edition
Author: Eli Stevens, Luca Antiga, and Thomas Viehmann
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.
eTextbook comes in pdf format which can work under all PC based windows operating system and Mac, Linux OS, Iphone, Ipad, Android etc…
It saves to your hard-drive and can be burned to CD-ROM. All pages are printable.
It is exactly same as the actual hardbook. And it is Color Version.
1) A COMPLETE eBook 522 Pages), with all single page and Chapters, Color Version. Same as the original textbook. Comes with PDF file format. Can be read by Adobe Reader.
It is only computer file/s, I will not ship hard copy. The file can be downloaded instantly after the payment has been made.
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