metrics.py 文件源码

def binary_crossentropy(y_pred, y_true):
    # Clip predictions to avoid numerical instability
    y_pred = T.clip(y_pred, _EPSILON, 1.0 - _EPSILON)

    loss = T.nnet.binary_crossentropy(y_pred, y_true)

    return loss.mean()