GitHub / MortadhaMannai / XAI_GridSearch_CatsVSDogs_EffNetV2

A project focusing on binary classification using Explainable Artificial Intelligence (XAI) methods, specifically SHAP (SHapley Additive exPlanations), and Grid Search for hyperparameter tuning. The project utilizes EfficientNetV2-B0 architecture on the Cat VS Dog dataset.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MortadhaMannai%2FXAI_GridSearch_CatsVSDogs_EffNetV2

Topics: deep-learning, deep-neural-networks, explainable-ai, xai

Funding links: https://github.com/sponsors/MortadhaMannai

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