Package rdkit :: Package ML :: Package Neural :: Module Trainers

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# Module Trainers

source code

    Training algorithms for feed-forward neural nets

    Unless noted otherwise, algorithms and notation are taken from:
    "Artificial Neural Networks: Theory and Applications",
      Dan W. Patterson, Prentice Hall, 1996

Classes | [hide private]

| Trainer "virtual base class" for network trainers
| BackProp implement back propagation (algorithm on pp 153-154 of Patterson)

Variables | [hide private]

| __package__ = ``'``rdkit.ML.Neural``'``

Imports: numpy, xrange