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TensorFlow Pocket Primer
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17 June 2019

Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, Java, Android, TensorFlow, and NLP. He is the author/co-author of over twenty-five books including TensorFlow 2 Pocket Primer, Python 3 for Machine Learning, and the NLP Using R Pocket Primer (all Mercury Learning and Information).
1: Introduction to TensorFlow
2: Useful TensorFlow APIs
3: TensorFlow Datasets
4: Linear Regression
5: Logistic Regression
On The Companion Files!
(available from the publisher for downloading by writing to info@merclearning.com)
- Source code samples
- Figures