def _get_loss(self, name):
return tf.reduce_mean(tf.multiply(self.target/tf.reduce_mean(self.target),
tf.div(tf.log1p(self.target), tf.log1p(self.output))),
name=name)
'''
return tf.reduce_mean(tf.multiply(tf.log1p(self.target/tf.reduce_mean(self.target)),
tf.abs(tf.subtract(self.target, self.output))),
name=name)
return tf.reduce_mean(tf.multiply(self.target/tf.reduce_mean(self.target),
tf.abs(tf.subtract(self.target, self.output))),
name=name)
return tf.reduce_mean(tf.multiply(1.0,
tf.abs(tf.subtract(self.target, self.output))),
name=name)
'''
评论列表
文章目录