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Sequence Models
Backpropagation Through Time
Inspect exact recurrent state derivatives backward through time.
A recurrent network carries a hidden state from one observation to the next.
Why do we need this? Sequential predictions need information from earlier observations.
Recurrent connection →Current input / state← Backward sensitivity
STEP 1 OF 25
Time 1: Read an input
The sequence supplies one observation at a time.
No account required. Local images and model files stay in your browser. Educational models demonstrate mechanisms; they are not production predictors.