Text
Text in the context of production machine-learning systems.
Lessons
Formal explanations, examples, simulations, and checkpoints.
Sequences are not IID
Use sequences are not iid to move the sequence models production brief toward a defensible release.
Sequence ML: RNNs, GRUs & LSTMsRecurrent state and BPTT
Use recurrent state and bptt to move the sequence models production brief toward a defensible release.
Sequence ML: RNNs, GRUs & LSTMsGates that remember: LSTM and GRU
Use gates that remember: lstm and gru to move the sequence models production brief toward a defensible release.
Sequence ML: RNNs, GRUs & LSTMsMany-to-one and many-to-many training
Use many-to-one and many-to-many training to move the sequence models production brief toward a defensible release.
Sequence ML: RNNs, GRUs & LSTMsStateful streaming inference without future leakage
Use stateful streaming inference without future leakage to move the sequence models production brief toward a defensible release.
Courses & assignments
Dependency-authoritative learning units.
Casebook
Reported facts and course reconstructions.