| Description |
1 online resource (xx, 230 pages) : illustrations. |
|
text file |
| Series |
Pocket primer series
|
|
Pocket primer.
|
| Note |
Includes index. |
| Contents |
Preface -- Introduction to TensorFlow 2 -- Useful TF 2 APIs -- TF2 datasets -- Linear regression -- Working with classifiers -- Appendix: TF 2, Keras, and advanced topics. |
| Summary |
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 |
| Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
| Subject |
TensorFlow.
|
|
Machine learning.
|
|
Machine learning. |
|
Artificial intelligence.
|
|
Artificial intelligence. |
|
artificial intelligence. |
| Genre/Form |
Electronic books.
|
| Other Form: |
Print version: Campesato, Oswald. TensorFlow 2.0 pocket primer. Dulles, Virginia : Mercury Learning and Information, [2020] 9781683924609 (OCoLC)1123219173 |
| ISBN |
9781683924616 (electronic book) |
|
1683924614 (electronic book) |
|
9781683924593 (electronic book) |
|
1683924592 (electronic book) |
|
9781683924609 (paperback) |
|
1683924606 (paperback) |
|
