Regularization, early-stopping and dreaming: a Hopfield-like setup to address generalization and overfitting

Elena Agliari, Francesco Alemanno, Miriam Aquaro +1

In this work we approach attractor neural networks from a machine learning perspective: we look for optimal network parameters by applying a gradient descent over a regularized los…