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Deep Learning with fastai Cookbook

You're reading from   Deep Learning with fastai Cookbook Leverage the easy-to-use fastai framework to unlock the power of deep learning

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Product type Paperback
Published in Sep 2021
Publisher Packt
ISBN-13 9781800208100
Length 340 pages
Edition 1st Edition
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Author (1):
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Mark Ryan Mark Ryan
Author Profile Icon Mark Ryan
Mark Ryan
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Table of Contents (10) Chapters Close

Preface 1. Chapter 1: Getting Started with fastai 2. Chapter 2: Exploring and Cleaning Up Data with fastai FREE CHAPTER 3. Chapter 3: Training Models with Tabular Data 4. Chapter 4: Training Models with Text Data 5. Chapter 5: Training Recommender Systems 6. Chapter 6: Training Models with Visual Data 7. Chapter 7: Deployment and Model Maintenance 8. Chapter 8: Extended fastai and Deployment Features 9. Other Books You May Enjoy

Chapter 1: Getting Started with fastai

Over the last decade, deep learning has revolutionized swathes of technology, from image recognition to machine translation. Until recently, only those with extensive training and access to specialized hardware have been able to unlock the benefits of deep learning. The fastai framework is an effort to democratize deep learning by making it accessible to non-specialists. One of the key ways that fastai opens up deep learning to the masses is by making it easy to get started.

In this chapter, we will show you what you need to get started with fastai, starting with how to set up an environment for fastai. By the end of this chapter, you will be able to do the following: set up a cloud environment in which to run fastai examples; exercise a basic fastai example; explain the relationship between fastai and PyTorch (the underlying deep learning library for fastai); and contrast fastai with Keras, the other high-level library for deep learning.

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