Deep Learning with PyTorch video edition

With this publication, we finally have a definitive treatise on PyTorch. It covers the basics and abstractions in great detail. From the Foreword by Soumith Chintala, Cocreator of PyTorch Every other day we hear about new ways to put deep learning to good use: improved medical imaging, accurate cred...

Full description

Saved in:
Bibliographic Details
Main Authors: Stevens, Eli (Author, VerfasserIn.), Antiga, Luca (VerfasserIn.), Viehmann, Thomas (VerfasserIn.)
Corporate Author: Safari, an O'Reilly Media Company. (Contributor, MitwirkendeR.)
Format: eBook
Language:English
Published: [Erscheinungsort nicht ermittelbar] Manning Publications 2020
Edition:1st edition.
Online Access:CONNECT
CONNECT
LEADER 04395ngm a2200457M 4500
001 in00006073290
006 m o u
007 cr uuu---uuuuu
008 210811s2020 maunnn o vleng d
005 20220712155229.4
035 |a 1WRLDSHRon1263358952 
040 |a GBVCP  |b ger  |e rda  |c GBVCP 
035 |a (DE-627)176614084X 
035 |a (DE-599)KEP067578896 
035 |a (ORHE)9781617295263VE 
035 |a (EBP)067578896 
035 |a (OCoLC)1263358952 
049 |a TXMM 
100 1 |a Stevens, Eli  |e VerfasserIn.  |4 aut 
245 1 0 |a Deep Learning with PyTorch video edition  |c Stevens, Eli. 
250 |a 1st edition. 
264 1 |a [Erscheinungsort nicht ermittelbar]  |b Manning Publications  |c 2020 
264 2 |a Boston, MA  |b Safari 
300 |a 1 online resource (1 video file, approximately 15 hr., 33 min.) 
336 |a two-dimensional moving image  |b tdi  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
500 |a Online resource; Title from title screen (viewed July 1, 2020). 
520 |a With this publication, we finally have a definitive treatise on PyTorch. It covers the basics and abstractions in great detail. From the Foreword by Soumith Chintala, Cocreator of PyTorch 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 will make that journey engaging and fun. about the technology Although many deep learning tools use Python, the PyTorch library is truly Pythonic. Instantly familiar to anyone who knows PyData tools like NumPy and scikit-learn, PyTorch simplifies deep learning without sacrificing advanced features. It's excellent for building quick models, and it scales smoothly from laptop to enterprise. Because companies like Apple, Facebook, and JPMorgan Chase rely on PyTorch, it's a great skill to have as you expand your career options. It's easy to get started with PyTorch. It minimizes cognitive overhead without sacrificing the access to advanced features, meaning you can focus on what matters the most - building and training the latest and greatest deep learning models and contribute to making a dent in the world. PyTorch is also a snap to scale and extend, and it partners well with other Python tooling. PyTorch has been adopted by hundreds of deep learning practitioners and several first-class players like FAIR, OpenAI, FastAI and Purdue. about the book Deep Learning with PyTorch teaches you to create neural networks and deep learning systems with PyTorch. This practical book quickly gets you to work building a real-world example from scratch: a tumor image classifier. Along the way, it covers best practices for the entire DL pipeline, including the PyTorch Tensor API, loading data in Python, monitoring training, and visualizing results. After covering the basics, the book will take you on a journey through larger projects. The centerpiece of the book is a neural network designed for cancer detection. You'll discover ways for training networks with limited inputs and start processing data to get some results. You'll sift through the unreliable initial results and focus on how to diagnose and fix the problems in your neural network. Finally, you'll look at way... 
590 |a O'Reilly Online Learning Platform: Academic Edition (SAML SSO Access) 
700 1 |a Antiga, Luca  |e VerfasserIn.  |4 aut 
700 1 |a Viehmann, Thomas  |e VerfasserIn.  |4 aut 
710 2 |a Safari, an O'Reilly Media Company.  |e MitwirkendeR.  |4 ctb 
730 0 |a WORLDSHARE SUB RECORDS 
856 4 0 |u https://go.oreilly.com/middle-tennessee-state-university/library/view/-/9781617295263VE/?ar  |z CONNECT  |3 O'Reilly  |t 0 
949 |a ho0 
994 |a 92  |b TXM 
998 |a wi 
999 f f |s 4d3e54bd-3b4e-40ff-b602-13545023045f  |i fb098c19-23f5-464c-aa15-cb9f646b57f9  |t 0 
952 f f |a Middle Tennessee State University  |b Main  |c James E. Walker Library  |d Electronic Resources  |t 1  |h Library of Congress classification 
856 4 0 |3 O'Reilly  |t 0  |u https://go.oreilly.com/middle-tennessee-state-university/library/view/-/9781617295263VE/?ar  |z CONNECT