<p>As part of the best-selling <em>Pocket Primer</em> 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 βcoreβ features of TensorFlow, with code samples that cover machine learning a
TensorFlow Pocket Primer
β Scribed by Oswald Campesato
- Publisher
- Mercury Learning and Information
- Tongue
- English
- Leaves
- 152
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
As part of thebest-selling Pocket Primer series, this bookis designed to introducebeginners to TensorFlow 1.x fundamentals for basic machine learning algorithmsin TensorFlow. It is intended to be a fast-paced introduction to various βcoreβfeatures of TensorFlow, with code samples that cover deep learning andTensorFlow basics. The material in the chapters illustrates how to solve avariety of tasks after which you can do further reading to deepen yourknowledge. Companion files with all of the code samples are available fordownloading from the publisher by writing to [email protected].Β
Features:
- UsesPython for code samples
- CoversTensorFlow APIs and Datasets
- Assumesthe reader has very limited experience
- Companion files with all of the source code examples(download from the publisher)
π SIMILAR VOLUMES
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<p><span>As part of the best-selling </span><span>Pocket Primer</span><span> 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 βcoreβ features of TensorFlow, with code samples that c
Companion files