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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

Test your knowledge

Now that you have deployed two kinds of fastai models and worked through some of the challenges related to maintaining deployed models, you can try some additional variations on deployment to exercise what you've learned.

Getting ready

Ensure that you have followed the steps in the Setting up fastai on your local system recipe to get fastai installed on your local system. Also, ensure that you have the Flask server started for the image classification model deployment by following Steps 1, 2, and 3 in the Deploying a fastai model trained on an image dataset recipe.

To experiment on the image classification model deployment, make a copy of the deploy_image directory. To do this, make the directory that contains deploy_image your current directory and run the following command to make a copy of the directory and its contents called deploy_image_test:

cp -r deploy_image deploy_image_test

How to do it…

You can follow the steps in this...

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