You're reading from Automated Machine Learning with AutoKeras

Product typeBook

Published inMay 2021

Reading LevelBeginner

PublisherPackt

ISBN-139781800567641

Edition1st Edition

Languages

Python

Tools

Keras

Concepts

Deep Learning

Author (1)

Luis Sobrecueva

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

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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Automated Machine Learning with AutoKeras

Published in: May 2021Publisher: PacktISBN-13: 9781800567641

Author (1)

Luis 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.
Read more about Luis Sobrecueva

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What is a neural network and how does it learn?

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