Many programming languages include libraries to do more complicated math. You can do statistics, numerical analysis or handle big numbers. One topic many programming languages have difficulty with is ...

Neural network regularization is a technique used to reduce the likelihood of model overfitting. There are several forms of regularization. The most common form is called L2 regularization. If you ...

This article focuses on L1 regularization, but I'll discuss L2 regularization briefly. You can think of a neural network as a complex math function that makes predictions. Training is the process of ...