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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Cristi Vlad Self-Experimenter and Author
I have followed this series for a while and I am getting to love it more. I am not much of a programmer and even using MATLAB makes me a little apprehensive but what I can do is to understand what is in front of me. The videos are short and sweet and it easy to follow them.
Is this the same programming technique that we can use in c # ?
I dont think you can use tensorflow in c#. But you can do ML, from what I know.
oh thank you :)