Project details for OpenANN

Logo OpenANN 1.1.0

by afabisch - September 26, 2013, 23:52:03 CET [ Project Homepage BibTeX Download ]

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Description:

OpenANN provides

  • Various types of artificial neural networks: multilayer neural network, convolutional neural network (CNN) with convolutional layers, subsampling layers and max-pooling layers, random projections for data and network compression and extreme learning machines, restricted Boltzmann machines (RBM) and sparse auto-encoders (SAE) for unsupervised pretraining
  • Optimization algorithms: mini-batch stochastic gradient descent (MBSGD) for large networks, conjugate gradient (CG) for large networks, limited memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) and Levenberg-Marquardt algorithm (LMA) for smaller networks, (increasing population size) covariance matrix adaption evolution strategies (IPOPCMAES) for reinforcement learning
  • Supported languages: C++, Python bindings
Changes to previous version:

Added algorithms:

  • L-BFGS optimizer
  • k-means
  • sparse auto-encoder
  • preprocessing: normalization, PCA, ZCA whitening
BibTeX Entry: Download
URL: Project Homepage
Supported Operating Systems: Linux, Macos
Data Formats: Numpy, Libsvm, Fann
Tags: Neural Networks
Archive: download here

Other available revisons

Version Changelog Date
1.1.0

Added algorithms:

  • L-BFGS optimizer
  • k-means
  • sparse auto-encoder
  • preprocessing: normalization, PCA, ZCA whitening
September 26, 2013, 23:52:03
1.0.0

Initial Announcement on mloss.org.

June 22, 2013, 19:34:01

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