Deep Learning: a new definition of artificial neuron with double weight

no code implementations • 11 May 2019 • Adriano Baldeschi, Raffaella Margutti, Adam Miller

For MNIST we find a $\approx 4\%$ and $\approx 1\%$ improved classification accuracy, respectively, when compared to a standard feed-forward and convolutional neural network built with the same sets of hyperparameters.

General Classification