Overfitting and underfitting are common phenomena in the field of machine learning and the techniques used to tackle overfitting problem is called regularization. In deep learning, dropout regularization is used to randomly drop neurons from hidden layers and this helps with generalization. In this video, we will see a theory behind dropout regularization. We will then implement artificial neural network for binary classification problem and see how using dropout layer can increase the performance of the model. #dropoutregularization #dropoutregularizationtechnique #dropoutregularisation #deeplearning #deeplearningtutorial #dropoutdeeplearning