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Deep Learning for Coders with fastai and PyTorch: AI Applications Without a ...
US $21.55
ApproximatelyS$ 27.59
Condition:
Good
A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages.
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Located in: North Smithfield, Rhode Island, United States
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Estimated between Tue, 15 Jul and Mon, 21 Jul
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eBay item number:136077883955
Item specifics
- Condition
- Release Year
- 2020
- Book Title
- Deep Learning for Coders with fastai and PyTorch: AI Applicati...
- ISBN
- 9781492045526
About this product
Product Identifiers
Publisher
O'reilly Media, Incorporated
ISBN-10
1492045527
ISBN-13
9781492045526
eBay Product ID (ePID)
28038665481
Product Key Features
Number of Pages
621 Pages
Language
English
Publication Name
Deep Learning for Coders with Fastai and Pytorch : Ai Applications Without a Phd
Publication Year
2020
Subject
Programming / General, Machine Theory, Image Processing, Computer Science, Neural Networks, Data Visualization, Programming Languages / Python
Type
Textbook
Subject Area
Computers
Format
Trade Paperback
Dimensions
Item Height
1.5 in
Item Weight
38.2 Oz
Item Length
9.2 in
Item Width
7 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
2022-278837
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
006.312
Synopsis
Deep learning has the reputation as an exclusive domain for math PhDs. Not so. With this book, programmers comfortable with Python will learn how to get started with deep learning right away. Using PyTorch and the fastai deep learning library, you'll learn how to train a model to accomplish a wide range of tasks--including computer vision, natural language processing, tabular data, and generative networks. At the same time, you'll dig progressively into deep learning theory so that by the end of the book you'll have a complete understanding of the math behind the library's functions., Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You'll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala
LC Classification Number
QA76.9.D343H69 2020
Item description from the seller
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- f***t (762)- Feedback left by buyer.Past monthVerified purchaseArrived as described with fast shipping thanks
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Seller feedback (42,472)
- f***t (762)- Feedback left by buyer.Past monthVerified purchaseArrived as described with fast shipping thanks
- p***p (131)- Feedback left by buyer.Past monthVerified purchasesmooth transaction, book as advertised
- r***r (249)- Feedback left by buyer.Past monthVerified purchaseFast shipping. Condition as described.