Vanilla rnns Sequence Modeling a(k, =act(zk, t) =act(U(a4-1)+Wa(k-1) Weights are shared across time instances(W(k) Assumes that the“ transition functions”are time invariant(U(k) Our goal is to learn U(k)and W(k) for k=1,. L Sourceofslidehttps://ww.youtubecom/watch?v2btuy-fw3c&list=plipcwhqlgjdkvoozhmqswxlja9xw7osokVanilla RNNs ▪ Sequence Modeling Weights are shared across time instances (W(k) ) Assumes that the “transition functions” are time invariant (U(k) ) Our goal is to learn U(k) and W(k) for k = 1,···,L Source of slide: https://www.youtube.com/watch?v=2btuy_-Fw3c&list=PLlPcwHqLqJDkVO0zHMqswX1jA9Xw7OSOK