ANN2 (2.3.2)

0 users

Artificial Neural Networks for Anomaly Detection.

Training of neural networks for classification and regression tasks using mini-batch gradient descent. Special features include a function for training autoencoders, which can be used to detect anomalies, and some related plotting functions. Multiple activation functions are supported, including tanh, relu, step and ramp. For the use of the step and ramp activation functions in detecting anomalies using autoencoders, see Hawkins et al. (2002) . Furthermore, several loss functions are supported, including robust ones such as Huber and pseudo-Huber loss, as well as L1 and L2 regularization. The possible options for optimization algorithms are RMSprop, Adam and SGD with momentum. The package contains a vectorized C++ implementation that facilitates fast training through mini-batch learning.

Maintainer: Bart Lammers
Author(s): Bart Lammers

License: GPL (>= 3)

Uses: ggplot2, Rcpp, reshape2, viridisLite, testthat

Released 8 months ago.

11 previous versions



  (0 votes)


  (0 votes)

Log in to vote.


No one has written a review of ANN2 yet. Want to be the first? Write one now.

Related packages:(20 best matches, based on common tags.)

Search for ANN2 on google, google scholar, r-help, r-devel.

Visit ANN2 on R Graphical Manual.