kashif/tf-keras-tutorial
tf.keras + tf.data with Eager Execution
This tutorial helps machine learning practitioners learn how to build and train neural networks using TensorFlow 2's Keras API. It guides you through setting up data pipelines and defining models, providing a hands-on introduction to the latest TensorFlow features. The output is a working understanding of how to implement deep learning models effectively.
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Use this if you are a machine learning engineer or data scientist looking to understand and apply TensorFlow 2 for building deep learning models.
Not ideal if you are looking for a conceptual introduction to machine learning theory or a high-level overview without code examples.
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73
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Jupyter Notebook
License
MIT
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Last pushed
Feb 27, 2019
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