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
License
GNU General Public License version 3.0 (GPLv3)Follow bnns
Other Useful Business Software
Crowdtesting That Delivers | Testeum
Testeum connects your software, app, or website to a worldwide network of testers, delivering detailed feedback in under 48 hours. Ensure functionality and refine UX on real devices, all at a fraction of traditional costs. Trusted by startups and enterprises alike, our platform streamlines quality assurance with actionable insights.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of bnns!