Let's see how our CNN architecture will look when written in Java. We'll also run the Java application and test the improved model from the graphical user interface. We'll draw some digits and ask models for predictions, and maybe simulate a case when a convolution will outperform the simple neural network model.
Before checking out the code, let's first look at the CNN architecture that we saw in the previous section from a different point of view:
So, we have this table here, and in the extreme left, there are the layers. Then we have these two columns, which are the activation's. So the activations are just the input, hidden layers, or convolution layers, and one activation shows the shape of the matrix dimensions, while the other shows the complete size, which is just a multiplication of the...
