the same we're not so zero correspond so them not being the same one corresponds to them being the same class and repeat this through all of the data in your meta training data set and so once you've trained this neural network to be able to compare pairs of images about a test time you can then take your test data point compare it to each of the images in your training dataset see and then output the corresponding label to the image that is the closest okay so in this case meta training is give me a two-way classification problem and then