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Welcome to the GB-CNN Wiki page!

Here you can find information about the Python library for working with Gradient Boosted - Convolutional Neural Networks (GB-CNN) and Gradient Boosted Deep Neural Networks (GB-DNN).

GB-CNN is designed to implement Gradient Boosted Convolutional layers for image datasets and Gradient Boosted Dense layers for large dimensional tabular datasets.

The library is based on a novel approach to training Convolutional Neural Networks and Deep Neural Networks, incorporating Gradient Boosting to produce models with high accuracy and better generalization than traditional CNNs and DNNs.

This wiki page provides information about model usage, installation, dependencies, model parameters, and related content.