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GitHub / amrkld / Facial_Expression_Recognizer_Fine-Tuning

This project uses the VGG16 and EfficientNetB2 models to recognize facial emotions in the FER-2013 dataset, classifying expressions into seven emotions.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/amrkld%2FFacial_Expression_Recognizer_Fine-Tuning

Stars: 0
Forks: 0
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 29.9 MB
Dependencies parsed at: Pending

Created at: 10 months ago
Updated at: 10 months ago
Pushed at: 10 months ago
Last synced at: 10 months ago

Topics: computer-vision, efficientnetb2, facial-expression-recognition, fine-tuning, vgg16

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