In this excellent tutorial video presentation below, Magnus Erik Hvass Pedersen demonstrates the basic workflow of using TensorFlow with a simple linear model. After loading the so-called MNIST data-set with images of hand-written digits, he defines and optimizes a simple mathematical model in TensorFlow. The results are then plotted and discussed. You can find the Jupyter notebook for the demo HERE.
You should be familiar with basic linear algebra, Python and the Jupyter Notebook editor. It also helps if you have a basic understanding of Machine Learning and classification.
For more TensorFlow tutorials, please visit this GitHub repo.
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