Neural Network Dropout Using Python -- Visual Studio Magazine

Neural network dropout is a technique that can be used during training. It is designed to reduce the likelihood of model overfitting. You can think of a neural network as a complex math equation that makes predictions. The behavior of a neural network is determined by the values of a set of constants, called weights (including special weights, called biases). The process of finding the values for the weights is called training the network.