Machine Learning, Data Science, NLP, Mathematics, AI.
dramatically reduces gradient propagated to the previous time step which will in turn be multiplied again. This causes the same issues as discussed above. when the gradient is very small, the weight update can be negligible and the network doesn’t learn anymore. We can add gates to RNN to combat