The Softmax function is a mathematical function that converts a vector of real numbers into a probability distribution. It is commonly used in machine learning and statistics, particularly in the context of multiclass classification problems. The Softmax function is often applied to the output layer of a neural network when the task is to classify inputs into one of several distinct classes.
