As part of the best-selling Pocket Primer series, this book is designed to introduce beginners to basic machine learning algorithms using TensorFlow 2. It is intended to be a fast-paced introduction... Read More
Description
As part of the best-selling Pocket Primer series, this book is designed to introduce beginners to basic machine learning algorithms using TensorFlow 2. It is intended to be a fast-paced introduction to various “core” features of TensorFlow, with code samples that cover machine learning and TensorFlow basics. A comprehensive appendix contains some Keras-based code samples and the underpinnings of MLPs, CNNs, RNNs, and LSTMs. The material in the chapters illustrates how to solve a variety of tasks after which you can do further reading to deepen your knowledge. Companion files with all of the code samples are available for downloading from the publisher by emailing proof of purchase to info@merclearning.com.
Features:
- Uses Python for code samples
- Covers TensorFlow 2 APIs and Datasets
- Includes a comprehensive appendix that covers Keras and advanced topics such as NLPs, MLPs, RNNs, LSTMs
- Features the companion files with all of the source code examples and figures (download from the publisher)
Details
- Price: $39.99
- Pages: 252
- Publisher: De Gruyter
- Imprint: Mercury Learning and Information
- Series: Pocket Primer
- Publication Date: 2nd October 2019
- ISBN: 9781683924609
- Format: Paperback
- BISACs:
COMPUTERS / Programming Languages / Python
COMPUTERS / Computer Science
COMPUTERS / Programming / General
COMPUTERS / Reference
Author Bio
Table of Contents
1: Introduction to TensorFlow 2
2: Useful TensorFlow 2 APIs
3: TensorFlow 2 Datasets
4: Linear Regression
5: Working with Classifiers
Appendix: TF2, Keras, and Advanced Topics
Index
On the Companion Files:
(available from the publisher for downloading)
- Source code samples from the text
- Figures
As part of the best-selling Pocket Primer series, this book is designed to introduce beginners to basic machine learning algorithms using TensorFlow 2. It is intended to be a fast-paced introduction to various “core” features of TensorFlow, with code samples that cover machine learning and TensorFlow basics. A comprehensive appendix contains some Keras-based code samples and the underpinnings of MLPs, CNNs, RNNs, and LSTMs. The material in the chapters illustrates how to solve a variety of tasks after which you can do further reading to deepen your knowledge. Companion files with all of the code samples are available for downloading from the publisher by emailing proof of purchase to info@merclearning.com.
Features:
- Uses Python for code samples
- Covers TensorFlow 2 APIs and Datasets
- Includes a comprehensive appendix that covers Keras and advanced topics such as NLPs, MLPs, RNNs, LSTMs
- Features the companion files with all of the source code examples and figures (download from the publisher)
- Price: $39.99
- Pages: 252
- Publisher: De Gruyter
- Imprint: Mercury Learning and Information
- Series: Pocket Primer
- Publication Date: 2nd October 2019
- ISBN: 9781683924609
- Format: Paperback
- BISACs:
COMPUTERS / Programming Languages / Python
COMPUTERS / Computer Science
COMPUTERS / Programming / General
COMPUTERS / Reference
1: Introduction to TensorFlow 2
2: Useful TensorFlow 2 APIs
3: TensorFlow 2 Datasets
4: Linear Regression
5: Working with Classifiers
Appendix: TF2, Keras, and Advanced Topics
Index
On the Companion Files:
(available from the publisher for downloading)
- Source code samples from the text
- Figures