concept:hidden-state
Hidden State
Hidden State in the context of production machine-learning systems.
Lessons
Formal explanations, examples, simulations, and checkpoints.
Sequence ML: RNNs, GRUs & LSTMs
Recurrent state and BPTT
Recurrent state carries information forward; BPTT carries responsibility backward, and truncation decides how far that responsibility can travel.
Sequence ML: RNNs, GRUs & LSTMsGates that remember: LSTM and GRU
Gates do not create memory by magic; they create learnable paths for preserving, replacing, and exposing state.
Sequence ML: RNNs, GRUs & LSTMsMany-to-one and many-to-many training
Choose the output pattern from the target, then make padding mathematically invisible to both state selection and loss.
Courses & assignments
Dependency-authoritative learning units.
Casebook
Reported facts and course reconstructions.