A Classification model trained entirely on a scientific calculator [P]

Excerpt

The calculator model is the Casio FX-82CE X. It is not programmable or graphical so everything had to be done by hand. The architecture is simple, MNIST images (just 0s and 1s) downscaled to 3x3, with binary pixels, then with a fully connected layer, they are brought down to just 1 neuron, which serves as the output neuron. If it's value is above 0 it counts as a one, otherwise as a zero. The training was done with a simple perceptron style training without a bias, 6 images (3 per class) and the