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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

Contrasting fastai with Keras

In this section, we'll cover some of the similarities and differences between fastai and Keras. While both frameworks provide high-level APIs for deep learning, there are some significant differences between them in terms of their architecture and approach to the problem, as well as differences between the communities using each. By contrasting these two frameworks, you will get a clearer idea of the strengths of fastai and be better prepared for the detailed examinations of fastai applications that are coming in subsequent chapters.

Getting ready

If you have used Keras recently, then you'll be in good shape to benefit from this section. If you haven't used Keras before, or it's been a while since you've used it, I recommend that you take a brief look at this tutorial so that you have a fresh overview of Keras: https://keras.io/getting_started/intro_to_keras_for_engineers/.

How to do it…

In this section, we will...

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