Machine Learning, Loss Function, Optimisation, Lua, Deep Learning.
Criterion. Classification loss functions: The output variable in classification problem is usually a probability value f(x), called the score for the input x. Generally, the magnitude of the score represents the confidence of our prediction. The target variable y, is a binary variable, 1 for true