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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
Languages
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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 worked through some extended examples of training fastai recommender systems, you can try some variations to exercise what you've learned.

Getting ready

Ensure that you have followed the Training a recommender system on a standalone dataset recipe. In this section, you will be adapting the notebook worked through in that recipe to create a recommender system for a new standalone dataset.

How to do it…

You can follow the steps in this section to try some variations on the recommender system that you trained with the Amazon product dataset in the Training a recommender system on a standalone dataset recipe:

  1. Make a copy of the training_recommender_systems_on_standalone_dataset.ipynb notebook that you worked through in the Training a recommender system on a standalone dataset recipe. Give your new copy of the notebook the following name: training_recommender_systems_on_new_standalone_dataset.ipynb.
  2. Review the description...
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