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Updated: Jan 17, 2026

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Deep Neural Networks for Image-Based Dietary Assessment
Published on: March 13, 2021
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Un nuevo algoritmo de retropropagación basado en pérdida de curtosis negada para entrenar redes neuronales
Engin Cemal Mengüç1, Alper Emlek2, Danilo P Mandic3
1Department of Electrical and Electronics Engineering, Kayseri University, Kayseri, 38280, Türkiye.
Resumen
Un nuevo algoritmo de retropropagación (BP) minimiza la curtosis del error de salida, mejorando el entrenamiento de redes neuronales (NN). Este método mejora la convergencia y reduce el error en estado estacionario para varias arquitecturas de NN.
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