Skip to main content

Counter Propagation based on Prototorch.

Project description

About

This is the implementation of Counterpropagation Models based on Prototorch by SICIM.

The implemented model is mainly based on the report by Villmann, Schubert and Kaden (2021) and the paper Kaden et. al. (2021). However, the original Counterpropagation model can be found in Hecht-Nielsen (1987).

Note, that the original Model is not implemented here (i.e. non-differentiable SOM initialization + perceptron-layer), since this implementation is focused on influencing the response by the subsequent supervised layer.

However, a simple approach to implement the Hecht-Nielsen model is to initialize a SOM on the data and use the assignments to create the subsequent perceptron layer.

Contact

bugs, fixes, ideas etc. can be send to trebuhcsynnor@gmail.com

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

counterprop_prototorch-1.0.1.tar.gz (8.8 kB view hashes)

Uploaded Source

Built Distribution

counterprop_prototorch-1.0.1-py3-none-any.whl (17.1 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page