Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD

Name: Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD
ISBN: 9781492045526

Автор: Jeremy Howard, Sylvain Gugger

Видавництво: O'Reilly

Немає в наявності

Кількість сторінок624

Рік видання2020

Deep Learning for Coders with fastai and PyTorch

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

About the authors

Jeremy Howard is a founding researcher at fast.ai, an institute dedicated to making deep learning more accessible. He's also a distinguished research scientist at the University of San Francisco and a member of the World Economic Forum's Global Al Council.

Sylvain Gugger is a research engineer at Hugging Face. Previously, he was a research scientist at fast.ai, focused on making deep learning more accessible by designing and improving techniques that allow models to train fast on limited resources.