cross-entropy
Matemática
Verbete 1 de 1
substantivo
Contexto: "Various cost functions may be used, depending on the task (prediction or classification) and the encoding of the output, e.g., mean squared error, binary cross-entropy and categorical cross-entropy."
Fonte: Briot, J. P. (2021). From artificial neural networks to deep learning for music generation: history, concepts and trends. Neural Computing and Applications, 33(1), 39-65.
Fonte: Briot, J. P. (2021). From artificial neural networks to deep learning for music generation: history, concepts and trends. Neural Computing and Applications, 33(1), 39-65.
Termo equivalente: entropia cruzada
Definição: "A function measuring the dissimilarity between two probability distributions. It is used as a cost (loss) function for a classification task to measure the 60 Neural Computing and Applications (2021) 33:39–65 123 difference between the prediction by an artificial neural network architecture (yˆ) and the actual target (true value y)."
Fonte: Briot, J. P. (2021). From artificial neural networks to deep learning for music generation: history, concepts and trends. Neural Computing and Applications, 33(1), 39-65.
Fonte: Briot, J. P. (2021). From artificial neural networks to deep learning for music generation: history, concepts and trends. Neural Computing and Applications, 33(1), 39-65.
Definição em português: "Uma função que mede a dissimilaridade entre duas distribuições de probabilidade. É usado como custo função (perda) para uma tarefa de classificação para medir a 60 Computação Neural e Aplicativos (2021) 33:39–65 123 diferença entre a previsão por um sistema neural artificial arquitetura de rede (yˆ) e o destino real (valor real e)."
