Machine Learning, Artificial Intelligence, Neural Networks, Deep Learning.
nearly well. So when a validation-set during test is provided, the model does not know how to predict accurately. One of the ways to break this is actually to add noise into f(x) so that the model is not able to co-relate the input vector {x1…xn} tightly to its output class {y1….yn}. In other