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TensorFlow 2.0 Quick Start Guide

You're reading from  TensorFlow 2.0 Quick Start Guide

Product type Book
Published in Mar 2019
Publisher Packt
ISBN-13 9781789530759
Pages 196 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Tony Holdroyd Tony Holdroyd
Profile icon Tony Holdroyd
LinkedIn
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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Table of Contents (15) Chapters

Preface 1. Section 1: Introduction to TensorFlow 2.00 Alpha
2. Introducing TensorFlow 2 3. Keras, a High-Level API for TensorFlow 2 4. ANN Technologies Using TensorFlow 2 5. Section 2: Supervised and Unsupervised Learning in TensorFlow 2.00 Alpha
6. Supervised Machine Learning Using TensorFlow 2 7. Unsupervised Learning Using TensorFlow 2 8. Section 3: Neural Network Applications of TensorFlow 2.00 Alpha
9. Recognizing Images with TensorFlow 2 10. Neural Style Transfer Using TensorFlow 2 11. Recurrent Neural Networks Using TensorFlow 2 12. TensorFlow Estimators and TensorFlow Hub 13. Converting from tf1.12 to tf2
14. Other Books You May Enjoy

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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Authors (1)

Profile icon Tony Holdroyd
LinkedIn
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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See other products by Tony Holdroyd

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