title: Categorical crossentropy need to use categorical_accuracy or accuracy as the metrics in keras?
body: <p>I'm currently doing a research for multi class classification. I used categorical crossentropy and i've got a really good result using accuracy as the metrics of the experiment. When i try to use categorical_accuracy, it gives a slightly worse accuracy (1% below). My question will be, is it ok to use accuracy metrics for categorical crossentropy loss instead of the categorical_accuracy?</p>