Man pages for davharris/mistnet
Stochastic Neural Networks
| adadelta.updater-class | adadelta updater |
| adagrad.updater-class | adagrad updater |
| adam.updater-class | adam updater |
| defineLayer | Define a layer's properties |
| dropoutMask | Produce a dropout mask |
| importanceSamplingEvaluation | Evaluate a network object's predictions on newdata against... |
| layer-class | Layer |
| loss | Loss functions |
| mistnet | Construct a mistnet model |
| network-class | Network |
| nonlinearity | nonlinearities |
| prior | 'gaussian.prior' Gaussian prior with mean and sd |
| prior-class | Prior distributions |
| rmsprop.updater-class | rmsprop updater |
| sampler | Samplers |
| sgd.updater-class | Stochastic gradient descent updater |
| updater-class | Updaters |
| zeros | Produce a matrix of zeros |
