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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
Languages
Python
Tools
TensorFlow
Concepts
Machine Learning
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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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The adoption and advantages of Keras

Keras is widely used by industry and research, as shown in the following diagram. The Power Score rankings were devised by Jeff Hale, who used 11 data sources across 7 distinct categories to gauge framework usage, interest, and popularity. Then, he weighted and combined the data as shown in this Medium article from September 2018: https://towardsdatascience.com/deep-learning-framework-power-scores-2018-23607ddf297a:

Keras has a number of advantages, including the following:

  • It's designed for both new users and experts alike, offering consistent and simple APIs
  • It's user friendly with a simple, consistent interface that is optimized for common use cases
  • It provides excellent feedback for user errors that is are easily understood and often accompanied by helpful advice
  • It's modular and composable; models in Keras are constructed...
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TensorFlow 2.0 Quick Start Guide
Published in: Mar 2019Publisher: PacktISBN-13: 9781789530759
© 2019 Packt Publishing Limited All Rights Reserved

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

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