Explained, Deep Learning, Hyperparameter, AI, Backpropagation.
data. They control the learning process (the process of finding the best weights) itself, such as the learning rate, the number of hidden layers and neurons in a neural network, or the regularization strength. The optimal values for hyperparameters are usually found through experimentation or