Picture 1 of 1
Gallery
Picture 1 of 1
Have one to sell?
Deep Learning with PyTorch: - Paperback, by Stevens Eli; Antiga - Very Good
US $26.28
ApproximatelyEUR 22.68
Condition:
Very Good
A book that has been read and does not look new, but is in excellent condition. No obvious damage to the book cover, with the dust jacket (if applicable) included for hard covers. No missing or damaged pages, no creases or tears, no underlining or highlighting of text, and no writing in the margins. Some identifying marks on the inside cover, but this is minimal. Very little wear and tear. See the seller’s listing for full details and description of any imperfections.
Out of stock3 sold
Oops! Looks like we're having trouble connecting to our server.
Refresh your browser window to try again.
Postage:
Free USPS Media MailTM.
Located in: Philadelphia, Pennsylvania, United States
Delivery:
Estimated between Fri, 8 Aug and Thu, 14 Aug to 94104
Returns:
30 days return. Seller pays for return postage.
Payments:
Shop with confidence
Seller assumes all responsibility for this listing.
eBay item number:125879386812
Item specifics
- Condition
- Book Title
- Deep Learning with PyTorch: Build, train, and tune neural network
- ISBN
- 9781617295263
About this product
Product Identifiers
Publisher
Manning Publications Co. LLC
ISBN-10
1617295264
ISBN-13
9781617295263
eBay Product ID (ePID)
13038724057
Product Key Features
Number of Pages
450 Pages
Language
English
Publication Name
Deep Learning with Pytorch
Publication Year
2020
Subject
Machine Theory, Intelligence (Ai) & Semantics, General, Data Processing
Type
Textbook
Subject Area
Mathematics, Computers
Format
Trade Paperback
Dimensions
Item Height
1.1 in
Item Weight
31.7 Oz
Item Length
9.3 in
Item Width
7.3 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
2021-285719
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
006.32
Synopsis
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, providing a comfortable Python experience that gets you started quickly and then grows with you as you, and your deep learning skills, become more sophisticated. Deep Learning with PyTorch teaches you how to implement deep learning algorithms with Python and PyTorch. This book takes you into a fascinating case study: building an algorithm capable of detecting malignant lung tumors using CT scans. As the authors guide you through this real example, you'll discover just how effective and fun PyTorch can be. Key features * Using the PyTorch tensor API * Understanding automatic differentiation in PyTorch * Training deep neural networks * Monitoring training and visualizing results * Interoperability with NumPy Audience Written for developers with some knowledge of Python as well as basic linear algebra skills. Some understanding of deep learning will be helpful, however no experience with PyTorch or other deep learning frameworks is required. About the technology PyTorch is a machine learning framework with a strong focus on deep neural networks. Because it emphasizes GPU-based acceleration, PyTorch performs exceptionally well on readily-available hardware and scales easily to larger systems., "We finally have the definitive treatise on PyTorch! It covers the basics and abstractions in great detail. I hope this book becomes your extended reference document." --Soumith Chintala, co-creator of PyTorch Key Features Written by PyTorch's creator and key contributors Develop deep learning models in a familiar Pythonic way Use PyTorch to build an image classifier for cancer detection Diagnose problems with your neural network and improve training with data augmentation Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About The Book 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. What You Will Learn Understanding deep learning data structures such as tensors and neural networks Best practices for the PyTorch Tensor API, loading data in Python, and visualizing results Implementing modules and loss functions Utilizing pretrained models from PyTorch Hub Methods for training networks with limited inputs Sifting through unreliable results to diagnose and fix problems in your neural network Improve your results with augmented data, better model architecture, and fine tuning This Book Is Written For For Python programmers with an interest in machine learning. No experience with PyTorch or other deep learning frameworks is required. About The Authors Eli Stevens has worked in Silicon Valley for the past 15 years as a software engineer, and the past 7 years as Chief Technical Officer of a startup making medical device software. Luca Antiga is co-founder and CEO of an AI engineering company located in Bergamo, Italy, and a regular contributor to PyTorch. Thomas Viehmann is a Machine Learning and PyTorch speciality trainer and consultant based in Munich, Germany and a PyTorch core developer. 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, 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, providing a comfortable Python experience that gets you started quickly and then grows with you as you, and your deep learning skills, become more sophisticated. Deep Learning with PyTorch teaches you how to implement deep learning algorithms with Python and PyTorch. This book takes you into a fascinating case study: building an algorithm capable of detecting malignant lung tumors using CT scans. As the authors guide you through this real example, you'll discover just how effective and fun PyTorch can be. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications., 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, providing a comfortable Python experience that gets you started quickly and then grows with you as you, and your deep learning skills, become more sophisticated. Deep Learning with PyTorch teaches you how to implement deep learning algorithms with Python and PyTorch. This book takes you into a fascinating case study: building an algorithm capable of detecting malignant lung tumors using CT scans. As the authors guide you through this real example, you'll discover just how effective and fun PyTorch can be. Key features * Using the PyTorch tensor API * Understanding automatic differentiation in PyTorch * Training deep neural networks * Monitoring training and visualizing results * Interoperability with NumPy Audience Written for developers with some knowledge of Python as well as basic linear algebra skills. Some understanding of deep learning will be helpful, however no experience with PyTorch or other deep learning frameworks is required. About the technology PyTorch is a machine learning framework with a strong focus on deep neural networks. Because it emphasizes GPU-based acceleration, PyTorch performs exceptionally well on readily-available hardware and scales easily to larger systems. Eli Stevens has worked in Silicon Valley for the past 15 years as a software engineer, and the past 7 years as Chief Technical Officer of a startup making medical device software. Luca Antiga is co-founder and CEO of an AI engineering company located in Bergamo, Italy, and a regular contributor to PyTorch.
LC Classification Number
QA76.87.S745 2020
Item description from the seller
Seller business information
Popular categories from this shop
Seller Feedback (175,291)
This item (1)
All items (175,291)
- m***o (1362)- Feedback left by buyer.Past monthVerified purchaseGood value. Thanks.
- j***n (29)- Feedback left by buyer.Past monthVerified purchaseI thought it was going to look better. Yes, it says used but it doesn't look the same as the picture in the description (3rd pic). But, it doesn't look too bad for as old as it is. It came in 3 days and I was happy to get it for almost the same price I paid for the copy I had almost 40 years ago and I was pleased with the free shipping. I wasn't too happy with the sticker I had to take off of it but an alcohol swab took care of the gummy residue it left when I took it off.
- o***m (21)- Feedback left by buyer.Past monthVerified purchaseGood
More to explore:
- 3.0 Good/Very Good Comics,
- Paperback Adult Learning and University Book,
- IT Paperback Adult Learning & University Books,
- Safety Paperback Adult Learning & University Books,
- Penguin Paperback Adult Learning & University Books,
- Paperback Adult Learning & University Books in Japanese,
- Animation Paperback Adult Learning & University Books,
- Workbook Law Paperback Adult Learning & University Books,
- 4.0 Very Good Comics,
- Medicine Paperback Adult Learning & University Textbook
Popular categories from this shop
Seller Feedback (175,291)
This item (1)
All items (175,291)
- m***o (1362)- Feedback left by buyer.Past monthVerified purchaseGood value. Thanks.
- j***n (29)- Feedback left by buyer.Past monthVerified purchaseI thought it was going to look better. Yes, it says used but it doesn't look the same as the picture in the description (3rd pic). But, it doesn't look too bad for as old as it is. It came in 3 days and I was happy to get it for almost the same price I paid for the copy I had almost 40 years ago and I was pleased with the free shipping. I wasn't too happy with the sticker I had to take off of it but an alcohol swab took care of the gummy residue it left when I took it off.
- o***m (21)- Feedback left by buyer.Past monthVerified purchaseGood