efficientnetb7 dl model Search Results


efficientnetb7 dl model  (Kaggle Inc)
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Kaggle Inc efficientnetb7 dl model
<t>EfficientnetB7_CNN</t> model architecture.
Efficientnetb7 Dl Model, supplied by Kaggle Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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efficientnetb7 dl model - by Bioz Stars, 2026-03
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EfficientnetB7_CNN model architecture.

Journal: Heliyon

Article Title: Introducing a novel dataset for facial emotion recognition and demonstrating significant enhancements in deep learning performance through pre-processing techniques

doi: 10.1016/j.heliyon.2024.e38913

Figure Lengend Snippet: EfficientnetB7_CNN model architecture.

Article Snippet: We trained the EfficientNetB7 DL model on the Kaggle platform using 84000 samples in FER24_CK+ (10 emotions) and the T4x2 accelerator for 185 epochs.

Techniques:

Evaluation of the models using FER13 and FER24_CK + datasets.

Journal: Heliyon

Article Title: Introducing a novel dataset for facial emotion recognition and demonstrating significant enhancements in deep learning performance through pre-processing techniques

doi: 10.1016/j.heliyon.2024.e38913

Figure Lengend Snippet: Evaluation of the models using FER13 and FER24_CK + datasets.

Article Snippet: We trained the EfficientNetB7 DL model on the Kaggle platform using 84000 samples in FER24_CK+ (10 emotions) and the T4x2 accelerator for 185 epochs.

Techniques:

EfficientNetB7-CNN (implementation parameters).

Journal: Heliyon

Article Title: Introducing a novel dataset for facial emotion recognition and demonstrating significant enhancements in deep learning performance through pre-processing techniques

doi: 10.1016/j.heliyon.2024.e38913

Figure Lengend Snippet: EfficientNetB7-CNN (implementation parameters).

Article Snippet: We trained the EfficientNetB7 DL model on the Kaggle platform using 84000 samples in FER24_CK+ (10 emotions) and the T4x2 accelerator for 185 epochs.

Techniques:

Confusion matrix of EfficientNetB7-CNN for FER task on FER24-CK+ (7 classes) private testing.

Journal: Heliyon

Article Title: Introducing a novel dataset for facial emotion recognition and demonstrating significant enhancements in deep learning performance through pre-processing techniques

doi: 10.1016/j.heliyon.2024.e38913

Figure Lengend Snippet: Confusion matrix of EfficientNetB7-CNN for FER task on FER24-CK+ (7 classes) private testing.

Article Snippet: We trained the EfficientNetB7 DL model on the Kaggle platform using 84000 samples in FER24_CK+ (10 emotions) and the T4x2 accelerator for 185 epochs.

Techniques:

Outlines the EfficientNetB7-CNN performance measure for private testing.

Journal: Heliyon

Article Title: Introducing a novel dataset for facial emotion recognition and demonstrating significant enhancements in deep learning performance through pre-processing techniques

doi: 10.1016/j.heliyon.2024.e38913

Figure Lengend Snippet: Outlines the EfficientNetB7-CNN performance measure for private testing.

Article Snippet: We trained the EfficientNetB7 DL model on the Kaggle platform using 84000 samples in FER24_CK+ (10 emotions) and the T4x2 accelerator for 185 epochs.

Techniques:

State-of-the-art comparison of models’ accuracy using the FER13 dataset as a base.

Journal: Heliyon

Article Title: Introducing a novel dataset for facial emotion recognition and demonstrating significant enhancements in deep learning performance through pre-processing techniques

doi: 10.1016/j.heliyon.2024.e38913

Figure Lengend Snippet: State-of-the-art comparison of models’ accuracy using the FER13 dataset as a base.

Article Snippet: We trained the EfficientNetB7 DL model on the Kaggle platform using 84000 samples in FER24_CK+ (10 emotions) and the T4x2 accelerator for 185 epochs.

Techniques: Comparison