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You're reading from  TensorFlow 2.0 Quick Start Guide

Product typeBook
Published inMar 2019
Reading LevelBeginner
PublisherPackt
ISBN-139781789530759
Edition1st Edition
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Author (1)
Tony Holdroyd
Tony Holdroyd
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Tony Holdroyd

Tony Holdroyd's first degree, from Durham University, was in maths and physics. He also has technical qualifications, including MCSD, MCSD.net, and SCJP. He holds an MSc in computer science from London University. He was a senior lecturer in computer science and maths in further education, designing and delivering programming courses in many languages, including C, C+, Java, C#, and SQL. His passion for neural networks stems from research he did for his MSc thesis. He has developed numerous machine learning, neural network, and deep learning applications, and has advised in the media industry on deep learning as applied to image and music processing. Tony lives in Gravesend, Kent, UK, with his wife, Sue McCreeth, who is a renowned musician.
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Keras models

Keras is based on the concept of a neural network model. The predominant model is called a Sequence, being a linear stack of layers. There is also a system using the Keras functional API.

The Keras Sequential model

To build a Keras Sequential model, you add layers to it in the same order that you want the computations to be undertaken by the network.

After you have built your model, you compile it; this optimizes the computations that are to be undertaken, and is where you allocate the optimizer and the loss function you want your model to use.

The next stage is to fit the model to the data. This is commonly known as training the model, and is where all the computations take place. It is possible to present the...

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TensorFlow 2.0 Quick Start Guide
Published in: Mar 2019Publisher: PacktISBN-13: 9781789530759

Author (1)

author image
Tony Holdroyd

Tony Holdroyd's first degree, from Durham University, was in maths and physics. He also has technical qualifications, including MCSD, MCSD.net, and SCJP. He holds an MSc in computer science from London University. He was a senior lecturer in computer science and maths in further education, designing and delivering programming courses in many languages, including C, C+, Java, C#, and SQL. His passion for neural networks stems from research he did for his MSc thesis. He has developed numerous machine learning, neural network, and deep learning applications, and has advised in the media industry on deep learning as applied to image and music processing. Tony lives in Gravesend, Kent, UK, with his wife, Sue McCreeth, who is a renowned musician.
Read more about Tony Holdroyd