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Automated Machine Learning with AutoKeras

You're reading from Automated Machine Learning with AutoKeras Deep learning made accessible for everyone with just few lines of coding

Product type Paperback

Published in May 2021

Publisher Packt

ISBN-13 9781800567641

Length 194 pages

Edition 1st Edition

Languages

Python

Tools

AutoKeras

Concepts

Deep Learning

Author (1):

Luis Sobrecueva

View More author details

Table of Contents (15) Chapters

Preface

1. Section 1: AutoML Fundamentals

2. Chapter 1: Introduction to Automated Machine Learning FREE CHAPTER

3. Chapter 2: Getting Started with AutoKeras

4. Chapter 3: Automating the Machine Learning Pipeline with AutoKeras

5. Section 2: AutoKeras in Practice

6. Chapter 4: Image Classification and Regression Using AutoKeras

7. Chapter 5: Text Classification and Regression Using AutoKeras

8. Chapter 6: Working with Structured Data Using AutoKeras

9. Chapter 7: Sentiment Analysis Using AutoKeras

10. Chapter 8: Topic Classification Using AutoKeras

11. Section 3: Advanced AutoKeras

12. Chapter 9: Working with Multimodal and Multitasking Data

13. Chapter 10: Exporting and Visualizing the Models

14. Other Books You May Enjoy

What is a neural network and how does it learn?

As we said previously, a neural network is a set of layers connected to each other. Each layer contains a set of nodes and each node has an associated weight. Neural network learning consists of simply modifying these weights in a suitable way so that the model makes good predictions. In the following diagram, we can see a simple two-layer network:

Figure 2.2 – Visual representation of a two-layer neural network

Figure 2.2 – Visual representation of a two-layer neural network

Each circle in the previous diagram is an artificial neuron, which is nothing more than a mathematical function inspired by the functioning of a biological neuron. These artificial neurons are the basic units in an artificial neural network and their operation consists of receiving one or more inputs (numerical values) and multiplying them by a factor or weight, and then adding the results to generate the output value.

These models are simple but really powerful because from a set of data...

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Authors (1)

Sobrecueva

Sobrecueva

Luis Sobrecueva is a senior software engineer and ML/DL practitioner currently working at Cabify. He has been a contributor to the OpenAI project as well as one of the contributors to the AutoKeras project.

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