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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
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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Keras data types

Keras data types (dtypes) are the same as TensorFlow Python data types, as shown in the following table:

Python type Description
tf.float16 16-bit floating point
tf.float32 32-bit floating point
tf.float64 64-bit floating point
tf.int8 8-bit signed integer
tf.int16 16-bit signed integer
tf.int32 32-bit signed integer
tf.int64 64-bit signed integer
tf.uint8 8-bit unsigned integer
tf.string Variable-length byte arrays
tf.bool Boolean
tf.complex64 Complex number made of two 32-bit floating points—one real and imaginary part
tf.complex128 Complex number made of two 64-bit floating points—one real and one imaginary part
tf.qint8 8-bit signed integer used in quantized Ops
tf.qint32 32-bit signed integer used in quantized Ops
tf.quint8 8-bit unsigned integer used in quantized Ops
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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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