Improving Deep neural networks by regularization

Building a model is not always the goal of a deep learning field. The model may be working fine but it can still be improved with higher accuracy on both training and test sets. This can also include speeding up the model. Some of the features like Regularization, Batch normalization, and Hyperparameter tuning can help in improving our deep learning network with higher accuracy and speed. Let us see how regularization, which is one of these features, is used to improve our neural network.