About bnns
BNNS is a research tool for interactive training of artificial neural networks based on the Response Function Plots visualization method. It enables users to simulate, visualize and interact in the learning process of a...
BNNS is a research tool for interactive training of artificial neural networks based on the Response Function Plots visualization method. It enables users to simulate, visualize and interact in the learning process of a Multi-Layer Perceptron on tasks which have a 2D character. Tasks like the famous two-spirals task or classification of satellite image data.
Features
- Reset of weights connected to a neuron
- Freeze/Unfreeze of weights connected to a neuron
- Basic support for scaling of RFPs, preview of RFP in its native size
- Preview of conflicts between output layer neurons
- Preview of error energy on output layer
- Preview of Training/Testing patterns
- Sigmoidal/Softmax activation on output layer
- Logging of MSE and of the sum of output layer responses
- Perl script to prepare bnns patterns from PGM data
- Perl script to prepare bnns patterns from Boston Remote Sensing Testbed data
- Maintained User Manual
Previous Versions
Here you can find the changelog of bnns since it was posted on our website on 2015-04-25 03:00:00.
The latest version is 2.0.1 and it was updated on 2024-04-22 16:19:55. See below the changes in each version.
bnns version 2.0.1
Updated At: 2014-05-12
bnns version files
Updated At: 2010-01-05
Changes: Several fixes and updates
Disclaimer
External Download
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