loss function

ML Specialization (CS229)

In machine learning, loss function is a function that quantifies the difference between the predicted value (computed by the learning algorithm) and the real data for every training example

• cost function computes the average value of loss function over ALL training data points

Link to original

Type

(CS229)

• least squares
• cross-entropy loss