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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

Setting up fastai on your local system

The first step in being able to do a simple web deployment of a fastai deep learning model is to set up your local system with PyTorch and fastai. You need to do this because you will be running code on your local system that invokes models that you trained earlier in this book. To exercise models to make predictions on your local system, you need to have the fastai framework installed. In this recipe, you will see how to set up fastai on your local system and how to validate your installation.

Getting ready

Ensure that you have Python (at least 3.7) installed on your local system.

To check the level of Python, enter the following command on the command line:

python –version

The output will show the version of Python installed on your local system as follows:

Figure 7.1 – Python version

Ensure that you have cloned the book's repo at https://github.com/PacktPublishing/Deep-Learning-with...

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