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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
Tools
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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

Making your model deployments available to others

In Chapter 7, Deployment and Model Maintenance, you deployed a couple of fastai models. To get a prediction, you pointed your browser to localhost:5000 and that opened up home.html where you set your scoring parameters, requested a prediction, and then got a prediction back in show-prediction.html. All this happened on your local system. Through the web deployments done in Chapter 7, Deployment and Model Maintenance, you can only get to the deployment on your local system because localhost is only accessible on your local system. What if you wanted to share these deployments with friends to allow them to try out your models on their own computers?

The simplest way to do this is using a tool called ngrok that lets you share localhost on your computer with people working on other computers. In this recipe, we will go through steps that show you how to use ngrok to make your deployments available to others.

Getting ready

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