Regularization in Deep Learning is very important to overcome overfitting. When your training accuracy is very high, but test accuracy is very low, the model highly overfits the training dataset set ...

The field of statistical mechanics applied to neural networks and Boltzmann machines has grown into a multidisciplinary research area that bridges the gap between theoretical physics, mathematics and ...