Regularizing Deep Neural Networks

Lets discuss Regularizing Deep Neural Networks. Deep neural nets with an outsized number of parameters are very powerful machine learning systems. However, overfitting may be a significant issue in such networks. Making it hard to affect over-fitting by associating the predictions of the many different large neural nets at test time, big networks similarly are slow to use. Dropout might be a technique for addressing this problem.