Machine Learning, Neural Networks, Artificial Intelligence, Data Science, Data.
layers learn to use the outputs of the other nodes, smoothing out the weights across all nodes. L1, L2 and Elastic Norm Regularization Norm regularization is a penalty imposed on the model’s objective function for using weights that are too large. This is done by adding an extra term onto the