concept:padding-masks
Padding Masks
Padding Masks in the context of production machine-learning systems.
Lessons
Formal explanations, examples, simulations, and checkpoints.
Sequence ML: RNNs, GRUs & LSTMs
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.
Courses & assignments
Dependency-authoritative learning units.
Casebook
Reported facts and course reconstructions.