## Neural Networks as a Function Approximator

For the past few days, I have been reading quite a lot of research papers, articles and blogs related to artificial neural networks and its transition towards deep learning. With so many different methods of selecting the best neural network architecture for a problem, the optimal hyper-parameters, the best optimization algorithm and so on, it becomes a little overwhelming to connect all the dots together when we ourselves start to […]