FORWARD PASS — sequence-level training with BPTT scalar tanh RNN cell W_h=0.70 W_x=0.50 b=0.10 + tanh ℓ_t ŷ_t = — h t−1 = 0.000 h t target y_t: input x_t → target y_t → mean sequence loss 0
This dashboard shows one forward sweep over the whole sequence, then one reverse-time BPTT sweep, and updates W_x, W_h, and b once per sequence. The target y_t is a fixed teaching label for each time step, not a model output; the dashboard trains the scalar prediction ŷ_t = h_t to match it.