Deep Learning, Regularization Techniques, Python Programming, Data Science, Technology.
network has trainable components that can jointly attempt to approximate the mapping, y: f(x). The approximation is then called ŷ: f(x), from y hat. When feeding forward our samples and optimizing our model, we do not know whether our model will learn a mapping like the one in yellow or the one in