Machine Learning, Artificial Intelligence, Neural Networks, Deep Learning.
underlying function f_cap(x) that tries to approximate the underlying function f(x) while noise ‘epsilon’ is present. Now, we can say that the Neural Network has learnt well if the mean squared error between the expected outcome ‘y’ and the output of the learnt function f_cap(x) is minimal or near