CS3237 - Lecture 4: Some deep learning techniques

Recap: Overfitting All data can be thought of consisting of two things: Some generator process f(x) where x can be time or an actual input Noise When we build model, we want it to learn only the generator process f(x) The noise is random, it is unique to the training... [Read More]