Deep Learning with PyTorch 1st edition by Luca Pietro Giovanni Antiga, Eli Stevens, Thomas Viehmann – Ebook PDF Instant Download/Delivery: 1617295264, 978-1617295263
Full download Deep Learning with PyTorch 1st edition after payment
Product details:
ISBN 10: 1617295264
ISBN 13: 978-1617295263
Author: Luca Pietro Giovanni Antiga, Eli Stevens, Thomas Viehmann
Every other day we hear about new ways to put deep learning to good use: improved medical imaging, accurate credit card fraud detection, long range weather forecasting, and more.
PyTorch puts these superpowers in your hands. Instantly familiar to anyone who knows Python data tools like NumPy and Scikit-learn, PyTorch simplifies deep learning without sacrificing advanced features. It’s great for building quick models, and it scales smoothly from laptop to enterprise.
Deep Learning with PyTorch teaches you to create deep learning and neural network systems with PyTorch. This practical book gets you to work right away building a tumor image classifier from scratch. After covering the basics, you’ll learn best practices for the entire deep learning pipeline, tackling advanced projects as your PyTorch skills become more sophisticated. All code samples are easy to explore in downloadable Jupyter notebooks.
Deep Learning with PyTorch 1st Table of contents:
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
People also search for Deep Learning with PyTorch 1st :
manning deep learning with python second edition
manning pytorch
deep learning with pytorch
deep learning with pytorch code
deep learning with python manning
Tags: Luca Pietro Giovanni Antiga, Eli Stevens, Thomas Viehmann, Deep Learning