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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
Author (1):
Tony Holdroyd Tony Holdroyd
Profile icon Tony Holdroyd

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

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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