如何将accuracy生成图像添加到tensorboard中？
for i in range(1000):
batch_xs,batch_ys = mnist.train.next_batch(100)
sess.run(train_step,feed_dict={xs:batch_xs,ys:batch_ys})
if i % 50 == 0:
accuracy = compute_accuracy(mnist.test.images,mnist.test.labels)
print(accuracy)
result = sess.run(merged,feed_dict={xs:batch_xs,ys:batch_ys})
writer.add_summary(result,i)
accuracy是scalar，用tf.summary.scalar