Deep Learning, Regularisation, Optimization Algorithms, Deep Neural Networks, Gradient Descent.
which model will perform best Then we saw how regularization helps us to deal with overfitting We covered how to setup an optimization problem We also looked at various optimization algorithms like momentum, RMSprop, Adam which help us reach the global minima of a cost function faster and hence