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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

Training a deep learning language model with a standalone text dataset

In the previous sections, we trained a language model and a text classifier using the curated text dataset IMDb. In this section and the next section, we will train a language model and a text classifier using a standalone text dataset, the Kaggle Coronavirus tweets NLP – Text Classification dataset described here: https://www.kaggle.com/datatattle/covid-19-nlp-text-classification. This dataset includes a selection of tweets related to the Covid-19 pandemic, along with categorization for the tweets according to the following five categories:

  • Extremely negative
  • Negative
  • Neutral
  • Positive
  • Extremely positive

The goal of the language model trained on this dataset is to predict the subsequent words in a Covid-related tweet given a starting phrase. The goal of the text classification model trained on this dataset, as described in the Training a deep learning text classifier with a...

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