DL 10.2 Sequential Models in Deep Learning Part 2

This lecture focuses on Recurrent Neural Networks and their training. Topics covered are: (i) Teacher Forcing as an important component of the training process. (ii) Dealing with gradients in a situation with potential for vanishing and exploding gradients. (iii) RNNs as directed graphical models and RNNs Conditioned in Context using attention models.