TensorFlow Cheat Sheet
This cheat sheet covers TensorFlow 2.0 basics, exemplifying how to jump-start a machine learning project within just a few seconds in a cloud environment.
Why read this?
TensorFlow is an end-to-end open-source platform from Google developed to address the needs of machine learning. This cheat sheet embraces:
- the basics of data set management and feature engineering
- a reference machine learning workflow with TensorFlow 2.0
- model serialization and deserialization examples
- high-level APIs for deep learning and prebuilt estimators
The document features two diagrams to illustrate the workflows and models described, as well as ready-to-use code samples.
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