We're constructing a simple but effective CNN that uses 32 filters of size 3x3
- added a 2nd CONV layer of 64 filters of the same size 3x2
- then downsample our data to 2x2, here he apply a dropout where p is set to 0.25
- then flatten our Max Pool output that is connected to a Dense/FC layer that has an output size of 128
- How we apply a dropout where P is set to 0.5
- Thus 128 output is connected to another FC/Dense layer that outputs to the 10 categorical units