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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

Technical requirements

In this chapter, you will be running deployments on your local system, which requires having fastai installed on your local system. To run fastai locally, a Windows or Linux system is recommended, with Python installed. While fastai can be installed on macOS, you will save yourself a lot of headaches if you use a Windows or Linux system for your local installation of fastai.

Ensure that you have cloned the repo for the book at https://github.com/PacktPublishing/Deep-Learning-with-fastai-Cookbook and have access to the ch7 folder. This folder contains the code samples described in this chapter.

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