CNN architecture is adapted from the VGG architecture.
- 2 convolutional layers
- 2x2 max-pooling layer
- 25% neuron dropout
- Dense layer of size 128
- 50% neuron dropout
- Dense layer of size 10 for each number
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CNN architecture is adapted from the VGG architecture.