Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD by Jeremy Howard, Sylvain Gugger

Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD
Jeremy Howard, Sylvain Gugger
Page: 582
Format: pdf, ePub, mobi, fb2
ISBN: 9781492045526
Publisher: O'Reilly Media, Incorporated
Download eBook

Online download free ebooks Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD (English Edition) FB2 RTF CHM by Jeremy Howard, Sylvain Gugger 9781492045526

Overview

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 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

Items