basic_cnn_tail.py 文件源码

def clear(self):
        self.loss = None
        # self.accuracy = None

#    def forward(self, x, t):
#        self.clear()
#        #x = chainer.Variable(x_data)  # x_data.astype(np.float32)
#        #t = chainer.Variable(t_data)  # [Note]: x_data, t_data must be np.float32 type
#
#        #self.loss = F.huber_loss(h, t, delta= 1 / 255.)
#        self.loss = F.mean_squared_error(self(x), t)
#        # self.accuracy = F.accuracy(h, t)  # type inconpatible
#        return self.loss
#