bflammers/ANN2: Artificial Neural Networks for Anomaly Detection
Version 1.5

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 GitHub
Installation Install the latest version of this package by entering the following in R:
bflammers/ANN2 documentation built on Nov. 30, 2017, 3:38 p.m.