Temporal Convolutional Networks | Lecture 52 (Part 3) | Applied Deep Learning (Supplementary)

[@yasmineamine6988]

Hi and thank u for this great video. Actually I didn t understand equation 2 and 3 in this paper. How does s-d.i denote the direction? and what is the activation function in equation 3? is it ReLu? If yes it was already used after dilated layers in the residual block, why use it again? can we change it by another function? Many thanks in advance