In this lesson of the deep learning series with TensorFlow and Python, we're gonna take a step back and take a moment to review some concepts that we've touched upon in the past.

So, we're actually going to do a refresher on visualizations with matplotlib. We are going to create a function to display our dataset - so that we can better understand what it is all about. 

We are going to display 10 images from each of the 10 categories (or possible labels) from the dataset. And this visualization is in grid format. We're also simply going to look at the number of samples in our training and test datasets. 

Then, in the next video we're going to catch up by starting to build the model, instantiate a session, and finally train it. 
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<center>https://www.youtube.com/watch?v=ZRWwSoouvdE</center>
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[Cristi Vlad](http://cristivlad.com) Self-Experimenter and Author