Operators, product owners, and people affected by the sequence models decision.
Deep learning · weeks 14
Sequence ML: RNNs, GRUs & LSTMs
Long support conversations must be routed while preserving temporal context.
Opening production brief
A measurable problem, before a model.
event time, padding/masks, hidden state, BPTT with version, owner, event time, and availability contracts.
Long support conversations must be routed while preserving temporal context. Every solution must state latency, cost, capacity, and fallback limits.
Offline evidence plus a deployable resolution: A masked sequence model with BPTT, recurrent gates, and attention precursors.
Frame and baseline
Turn the production problem into explicit data, metric, and baseline contracts.
- 01↗
Sequences are not IID
In sequence learning, chronology is part of the feature schema: define the cutoff first, then construct inputs, labels, and splits around it.
65–90 min · checkpoint · deterministic lab - 02↗
Recurrent state and BPTT
Recurrent state carries information forward; BPTT carries responsibility backward, and truncation decides how far that responsibility can travel.
65–90 min · checkpoint · deterministic lab
Build and stress
Formalize the machinery, test counterexamples, and expose system limits.
- 03↗
Gates that remember: LSTM and GRU
Gates do not create memory by magic; they create learnable paths for preserving, replacing, and exposing state.
65–90 min · checkpoint · deterministic lab - 04↗
Many-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.
65–90 min · checkpoint · deterministic lab
Resolve and operate
Join model behavior to architecture, observability, rollout, and rollback.
- 05↗
Stateful streaming inference without future leakage
For streaming inference, the state transition, ordering policy, deduplication rule, and model version are all part of the model.
65–90 min · checkpoint · deterministic lab - HW↗
Causal stateful risk model
Specify an LSTM with temporal splits, masking, BPTT diagnostics, and replay/online state parity.
Rubric · staged hints · reference resolution
Prerequisite guidance
1 concepts make this faster.
Prerequisites are guidance, never hard gates.