Regularization in Neural Networks

Regularization in Neural Networks In Deep Learning it is necessary to reduce the complexity of model in order to avoid the problem of overfitting. Also, the model should be able to generalize well. This problem can be solve by using regularization techniques. Technically, overfitting harms the generalization. So, our primary goal is to solve theContinue reading “Regularization in Neural Networks”