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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

Setting up a fastai environment in Paperspace Gradient

There are two free cloud environments that you can use to explore fastai: Paperspace Gradient and Google Colab. In this section, we'll go through the steps to set up Paperspace Gradient with a fastai notebook environment, and in the next section, we'll go through the setup steps for Colab. It's your choice, so pick the environment that works best for you.

Gradient is simpler to use because you have access to a standard filesystem for storage. With Colab, you need to use Google Drive for storage and, unlike Gradient, you don't have convenient access to the terminal for command-line interactions.

On the other hand, Colab gives you direct access to a wider set of libraries beyond those needed for fastai—for example, you can run the Keras MNIST example in Colab but it won't work off the shelf in a Gradient fastai instance. To get the most out of the examples in the book, it's best to set...

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