Weight Initialization, Under-/Over-Fitting, & Evaluation of Deep Learning Models

We will discuss vanishing gradients and exploding gradients problems, and possible ways to solve them. We will look into Weight Initialization and why it is important.

We will also spend some time on Under-/Over-Fitting and (maybe) the Evaluation of Deep Learning Models if time permits.