if step > 1 and step % 100 == 0:
_, top1_error_value = sess.run([val_op, top1_error], { is_training: False })
print('Validation top1 error %.2f' % top1_error_value)
So this is the last line of resnet_train.
I am wondering if this is actually giving the user the so-called "test error" where the images are from the test sets.
Can anyone answer my question?
So this is the last line of resnet_train.
I am wondering if this is actually giving the user the so-called "test error" where the images are from the test sets.
Can anyone answer my question?