network_in_network.py 文件源码

def init_train_test_op(self):
        # some loss functions and all -> total loss
        self.loss_function = tf.reduce_mean(tf.nn.softmax_cross_entropy_with_logits(labels=self.y,
                                                                                    logits=self.read_out_logits))
        # training op
        self.training_op = tf.train.AdamOptimizer(self.learning_rate).minimize(self.loss_function)
        self.predict_op = tf.arg_max(self.read_out_logits, 1)
        # predict
        predict_matches = tf.equal(tf.arg_max(self.y, dimension=1),
                                   tf.arg_max(self.read_out_logits, 1))
        # accuracy metric
        self.accuracy = tf.reduce_mean(tf.cast(predict_matches, tf.float32))