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GitHub / OmidGhadami95 / EfficientNetV2_CatVSDog
Binary classification, SHAP (Explainable Artificial Intelligence), and Grid Search (for tuning hyperparameters) using EfficientNetV2-B0 on Cat VS Dog dataset.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/OmidGhadami95%2FEfficientNetV2_CatVSDog
Stars: 0
Forks: 0
Open Issues: 0
License: None
Language: Jupyter Notebook
Repo Size: 1.54 MB
Dependencies:
0
Created: 4 months ago
Updated: 4 months ago
Last pushed: 3 months ago
Last synced: 3 months ago
Topics: binary, binary-classification, catvsdog, catvsdog-classifier, cl, cnn, deep-learning, efficientnet, efficientnetv2, efficientnetv2-b0, explainable-ai, explainable-ml, fairness-ai, fairness-ml, gridsearch, imbalanced-data, imbalanced-dataset, keras, shap, tensorflow2
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