Machine Learning, Artificial Intelligence, Regularization, Dropout Regularization, Overfitting.
nodes of consecutive layers are randomly dropped based on a dropout-ratio (%age of the total connection dropped) and the remaining network is trained in the current iteration. In the next iteration, another set of random connections are dropped. The dropout method ensures that the neural network