vector all you're doing is you're adding in or the forget gate yeah you actually don't really need it but you're adding in some some new number and so the OS TM is actually a lot like a res net it's a lot like a CNN resonate in that you're adding new values on to the activation as you go through the layers right and so this solves the exploding and vanishing gradients problems however LST M is still pretty difficult to train because you still have these very long gradient paths even even without even with those residual connections you're