TensorFlow Pocket Primer / / Oswald Campesato.
As part of the best-selling Pocket Primer series, this book is designed to introduce beginners to TensorFlow 1.x fundamentals for basic machine learning algorithms in TensorFlow. It is intended to be a fast-paced introduction to various “core” features of TensorFlow, with code samples that cover dee...
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| Place / Publishing House: | Dulles, VA : : Mercury Learning and Information, , [2019] ©2019 |
| Year of Publication: | 2019 |
| Language: | English |
| Series: | Pocket Primer
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| Online Access: | |
| Physical Description: | 1 online resource (152 p.) |
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| Summary: | As part of the best-selling Pocket Primer series, this book is designed to introduce beginners to TensorFlow 1.x fundamentals for basic machine learning algorithms in TensorFlow. It is intended to be a fast-paced introduction to various “core” features of TensorFlow, with code samples that cover deep learning and TensorFlow basics. 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 writing to info@merclearning.com. Features: Uses Python for code samplesCovers TensorFlow APIs and DatasetsAssumes the reader has very limited experienceCompanion files with all of the source code examples (download from the publisher) |
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| Format: | Mode of access: Internet via World Wide Web. |
| ISBN: | 9781683923664 |
| DOI: | 10.1515/9781683923664 |
| Access: | restricted access |
| Hierarchical level: | Monograph |
| Statement of Responsibility: | Oswald Campesato. |