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Submanifold Theory: Beyond an Introduction
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TensorFlow 2 Pocket Primer
Description
by Oswald Campesato (Author)
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.
Features:
- Uses Python for code samples
- Covers TensorFlow 2 APIs and Datasets
- Includes a comprehensive appendix that covers Keras and advanced topics such as NLPs, MLPs, RNNs, LSTMs
Details
Year:
2020
Pages:
251
Language:
English
Format:
PDF
Size:
6 MB
ISBN-10:
1683924606
ISBN-13:
978-1683924609
ASIN:
B07XD5R1XZ
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