Machine Learning, Artificial Intelligence, Neural Networks, Deep Learning.
processing as well. Given this, we need to always account for noise during machine learning. Now, let’s say we have some data that we are using to train our Neural Net models. Let’s say that the input vectors {x1, x2,… xn} has outcomes {y1, y2…yn} associated with it. Then the way to think about