neural.py 文件源码

def s_binary_crossentropy(self, y_true, y_pred):
        if self.p:
            y_pred = undo_normcentererr(y_pred, self.p)
            y_true = undo_normcentererr(y_true, self.p)
        s_true = K.dot(y_true, K.transpose(self.H))%2
        twopminusone = 2*y_pred-1
        s_pred = ( 1 - tf.real(K.exp(K.dot(K.log(tf.cast(twopminusone, tf.complex64)), tf.cast(K.transpose(self.H), tf.complex64)))) ) / 2
        return K.mean(K.binary_crossentropy(s_pred, s_true), axis=-1)