TensorFlow 2.0 quick start guide : get up to speed with the newly introduced features of TensorFlow 2.0 / Tony Holdroyd.
2019
QA76.76.A65
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Details
Title
TensorFlow 2.0 quick start guide : get up to speed with the newly introduced features of TensorFlow 2.0 / Tony Holdroyd.
Author
ISBN
9781789536966 (electronic bk.)
1789536960 (electronic bk.)
9781789530759
1789536960 (electronic bk.)
9781789530759
Published
Birmingham, UK : Packt Publishing, 2019.
Language
English
Description
1 online resource : illustrations
Call Number
QA76.76.A65
System Control No.
(OCoLC)1100643333
Summary
TensorFlow is one of the most popular machine learning frameworks in Python. With this book, you will improve your knowledge of some of the latest TensorFlow features and will be able to perform supervised and unsupervised machine learning and also train neural networks.
Formatted Contents Note
TensorFlow 2.0 quick start guide : get up to speed with the newly introduced features of TensorFlow 2.0
Contributors
Table of Contents
Preface
Section 1: Introduction to TensorFlow 2.00 Alpha
Chapter 1: Introducing TensorFlow 2
Chapter 2: Keras, a High-Level API for TensorFlow 2
Chapter 3: ANN Technologies Using TensorFlow 2
Section 2: Supervised and Unsupervised Learning in TensorFlow 2.00 Alpha
Chapter 4: Supervised Machine Learning Using TensorFlow 2
Chapter 5: Unsupervised Learning Using TensorFlow 2
Section 3: Neural Network Applications of TensorFlow 2.00 Alpha
Chapter 6: Recognizing Images with TensorFlow 2
Chapter 7: Neural Style Transfer Using TensorFlow 2
Chapter 8: Recurrent Neural Networks Using TensorFlow 2
Chapter 9: TensorFlow Estimators and TensorFlow Hub
Appendix A: Converting from tf1.12 to tf2
Other Books You May Enjoy
Index.
Contributors
Table of Contents
Preface
Section 1: Introduction to TensorFlow 2.00 Alpha
Chapter 1: Introducing TensorFlow 2
Chapter 2: Keras, a High-Level API for TensorFlow 2
Chapter 3: ANN Technologies Using TensorFlow 2
Section 2: Supervised and Unsupervised Learning in TensorFlow 2.00 Alpha
Chapter 4: Supervised Machine Learning Using TensorFlow 2
Chapter 5: Unsupervised Learning Using TensorFlow 2
Section 3: Neural Network Applications of TensorFlow 2.00 Alpha
Chapter 6: Recognizing Images with TensorFlow 2
Chapter 7: Neural Style Transfer Using TensorFlow 2
Chapter 8: Recurrent Neural Networks Using TensorFlow 2
Chapter 9: TensorFlow Estimators and TensorFlow Hub
Appendix A: Converting from tf1.12 to tf2
Other Books You May Enjoy
Index.
Source of Description
Online resource; title from PDF title page (EBSCO, viewed June 20, 2019)
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