TensorFlow 2 Pocket Primer / / Oswald Campesato.
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 TensorFlo...
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Place / Publishing House: | Dulles, VA : : Mercury Learning and Information, , [2019] ©2019 |
Year of Publication: | 2019 |
Language: | English |
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Physical Description: | 1 online resource (252 p.) |
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Campesato, Oswald, author. aut http://id.loc.gov/vocabulary/relators/aut TensorFlow 2 Pocket Primer / Oswald Campesato. Dulles, VA : Mercury Learning and Information, [2019] ©2019 1 online resource (252 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Pocket Primer Frontmatter -- Contents -- Preface -- Chapter 1. Introduction to TensorFlow 2 -- Chapter 2. Useful TF 2 APIs -- Chapter 3. TF 2 Datasets -- Chapter 4. Linear Regression -- Chapter 5. Working with Classifiers -- Appendix: TF 2, Keras, and Advanced Topics -- Index restricted access http://purl.org/coar/access_right/c_16ec online access with authorization star 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 samplesCovers TensorFlow 2 APIs and DatasetsIncludes a comprehensive appendix that covers Keras and advanced topics such as NLPs, MLPs, RNNs, LSTMsFeatures the companion files with all of the source code examples and figures (download from the publisher) Issued also in print. Mode of access: Internet via World Wide Web. In English. Description based on online resource; title from PDF title page (publisher's Web site, viewed 08. Aug 2023) Programming. COMPUTERS / Programming Languages / Python. bisacsh EPUB 9781683924593 print 9781683924609 https://www.degruyter.com/isbn/9781683924616 Cover https://www.degruyter.com/document/cover/isbn/9781683924616/original |
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English |
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Campesato, Oswald, Campesato, Oswald, |
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Campesato, Oswald, Campesato, Oswald, TensorFlow 2 Pocket Primer / Pocket Primer Frontmatter -- Contents -- Preface -- Chapter 1. Introduction to TensorFlow 2 -- Chapter 2. Useful TF 2 APIs -- Chapter 3. TF 2 Datasets -- Chapter 4. Linear Regression -- Chapter 5. Working with Classifiers -- Appendix: TF 2, Keras, and Advanced Topics -- Index |
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Campesato, Oswald, Campesato, Oswald, |
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VerfasserIn VerfasserIn |
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Campesato, Oswald, |
title |
TensorFlow 2 Pocket Primer / |
title_full |
TensorFlow 2 Pocket Primer / Oswald Campesato. |
title_fullStr |
TensorFlow 2 Pocket Primer / Oswald Campesato. |
title_full_unstemmed |
TensorFlow 2 Pocket Primer / Oswald Campesato. |
title_auth |
TensorFlow 2 Pocket Primer / |
title_alt |
Frontmatter -- Contents -- Preface -- Chapter 1. Introduction to TensorFlow 2 -- Chapter 2. Useful TF 2 APIs -- Chapter 3. TF 2 Datasets -- Chapter 4. Linear Regression -- Chapter 5. Working with Classifiers -- Appendix: TF 2, Keras, and Advanced Topics -- Index |
title_new |
TensorFlow 2 Pocket Primer / |
title_sort |
tensorflow 2 pocket primer / |
series |
Pocket Primer |
series2 |
Pocket Primer |
publisher |
Mercury Learning and Information, |
publishDate |
2019 |
physical |
1 online resource (252 p.) Issued also in print. |
contents |
Frontmatter -- Contents -- Preface -- Chapter 1. Introduction to TensorFlow 2 -- Chapter 2. Useful TF 2 APIs -- Chapter 3. TF 2 Datasets -- Chapter 4. Linear Regression -- Chapter 5. Working with Classifiers -- Appendix: TF 2, Keras, and Advanced Topics -- Index |
isbn |
9781683924616 9781683924593 9781683924609 |
url |
https://www.degruyter.com/isbn/9781683924616 https://www.degruyter.com/document/cover/isbn/9781683924616/original |
illustrated |
Illustrated |
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TensorFlow 2 Pocket Primer / |
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