Gugger, Sylvain
Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD
- ISBN 13:
- 9781492045526
- author:
- Gugger, Sylvain
- format:
- Paperback / softback
- publisher:
- O'Reilly Media, Inc, USA
- language:
- English
- Publication Year:
- 2020
- Pages:
- 350
- Dimensions:
- 23.3 x 17.8 centimetres
- Genre:
- Computers, Graphics & Design, Computers,
- Condition:
- New
- Availability:
- Item usually sent within 7 working days
Description
Deep Learning for Coders with Fastai and PyTorch AI Applications Without a PhD is a practical guide to building deep learning models using Python. Authors Jeremy Howard and Sylvain Gugger, creators of the fastai library, show how programmers can achieve impressive results in deep learning without extensive math background or large amounts of data. You'll learn how to train models on various tasks, including computer vision, natural language processing, tabular data, and collaborative filtering, using fastai and PyTorch. The book also covers the latest deep learning techniques that matter most in practice, helping you improve accuracy, speed, and reliability by understanding how deep learning models work. By the end of this guide, you'll be able to turn your models into web applications and consider the ethical implications of your work. With a focus on hands-on examples and progressive learning, this book is ideal for anyone looking to get started with or deepen their knowledge of deep learning.
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