Improving the handwritten digit recognition application

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 ...

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