Deep Learning, Regularisation, Optimization Algorithms, Deep Neural Networks, Gradient Descent.
generally follow: Start with an idea, i.e. start with a certain number of hidden layers, certain learning rate, etc. Try the idea by coding it Experiment how well the idea has worked Refine the idea and iterate this process Now how do we identify whether the idea is working? This is where the train