Machine Learning, Artificial Intelligence, Regularization, Dropout Regularization, Overfitting.
neural network consists of multiple hidden layers, where the output of one layer is used as input to the subsequent layer. The subsequent layer modifies the input through learnable parameters (usually by multiplying it by a matrix and adding a bias followed by an activation function). The input