Regularization for Deep Learning
Ekaba Bisong · Apress eBooks · 2019
Regularization is a technique for reducing the variance in the validation set, thus preventing the model from overfitting during training. In doing so, the model can better generalize to new examples. When training deep neural networks, a couple of strategies exist for use as a regularizer.