Machine Learning, Data Science, NLP, Mathematics, AI.
back-propagation through time (BPTT). In the above figure we illustrated how the weights are updated for a loss (Et) that is calculated at time step t. The error for all time steps is the summation of Et ’s and we can sum the gradients for each of the weights in our network (U, V, and W) and update