05/27/2026

Example 1 is going to be an MNIST type data set.

We are going to learn about;
* What CNNs are.
* The language around them.
* Key Learning Points:
- Different layers (CNN) - perhaps why we do spatial stuff. 

There are the 3 versus 8; I like the idea of doing this to show them what is going on. 

We want to get to the Grad-CAM - this is the class activation map 

The lung example can be a 2nd one for people who are feeling fancy; 

The key here is that we want to see that there are regions of the lungs that are importna.

Things to change:
* Do the same NN for both. (It's a little funny that this is different)
* Find a nice visual way to represent the network
* Clean up the presentation...
* Can I find a way to download locally the lung data to keep from having to install something else. (Introduce Biological MNIST)