ANN2: Artificial Neural Networks for Anomaly Detection

Training of general classification and regression neural networks using gradient descent. Special features include a function for training replicator neural networks and a function for training autoencoders. Multiple activation and cost functions (including Huber and pseudo-Huber) are supported, as well as L1 and L2 regularization, momentum, early stopping and the possibility to specify a learning rate schedule. The package contains a vectorized gradient descent implementation which facilitates faster training through batch learning.

Getting started

Package details

AuthorBart Lammers
MaintainerBart Lammers <[email protected]>
LicenseGPL (>= 3)
Package repositoryView on CRAN
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ANN2 documentation built on Nov. 29, 2017, 1:01 a.m.