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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 worked through a number of extended examples of training fastai deep learning models with text datasets, you can try some variations to practice what you've learned.

Getting ready

Ensure that you have followed the Getting ready steps from the Training a deep learning text classifier with a standalone text dataset section to prepare your Gradient environment and upload the Covid-related tweets dataset.

How to do it…

You can follow the steps in this section to try some variations on the models that you trained with the Covid-related tweets dataset:

  1. Make a copy of the text_standalone_dataset_lm.ipynb notebook that you worked through in the Training a deep learning language model with a standalone text dataset recipe. Give your new copy of the notebook the following name: text_standalone_dataset_lm_combo.ipynb.
  2. In your new notebook, in addition to creating a dataframe for the train CSV Corona_NLP_train.csv file...
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