TensorFlow 2 Pocket Primer:
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...
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Herndon
Mercury Learning and Information
[2019]
|
| Series: | Pocket Primer
|
| Subjects: | |
| Online Access: | DE-1046 DE-1043 DE-858 DE-859 DE-860 DE-739 Volltext |
| 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. 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) |
| Item Description: | Description based on online resource; title from PDF title page (publisher's Web site, viewed 01. Nov 2023) |
| Physical Description: | 1 Online-Ressource (252 Seiten) |
| ISBN: | 9781683924616 |
| DOI: | 10.1515/9781683924616 |
Staff View
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| spelling | Campesato, Oswald Verfasser aut TensorFlow 2 Pocket Primer Oswald Campesato Herndon Mercury Learning and Information [2019] © 2019 1 Online-Ressource (252 Seiten) txt rdacontent c rdamedia cr rdacarrier Pocket Primer Description based on online resource; title from PDF title page (publisher's Web site, viewed 01. Nov 2023) 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) In English Programming COMPUTERS / Programming Languages / Python bisacsh Application software Development Artificial intelligence Machine learning Erscheint auch als Druck-Ausgabe 9781683924609 https://doi.org/10.1515/9781683924616?locatt=mode:legacy Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Campesato, Oswald TensorFlow 2 Pocket Primer Programming COMPUTERS / Programming Languages / Python bisacsh Application software Development Artificial intelligence Machine learning |
| title | TensorFlow 2 Pocket Primer |
| title_auth | TensorFlow 2 Pocket Primer |
| title_exact_search | TensorFlow 2 Pocket Primer |
| title_exact_search_txtP | 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_short | TensorFlow 2 Pocket Primer |
| title_sort | tensorflow 2 pocket primer |
| topic | Programming COMPUTERS / Programming Languages / Python bisacsh Application software Development Artificial intelligence Machine learning |
| topic_facet | Programming COMPUTERS / Programming Languages / Python Application software Development Artificial intelligence Machine learning |
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