with image like other images so labeling images is pretty human intensive but the internet contains like a whole bunch of unlabeled images so the task of semi-supervised learning is how do you use this unlabeled data set in order to make your classification on the label data set easier and fix match combines two approaches to this in a smart way namely the consistency and confidence approach right so what does what does well it will jump right into into the method so basically what you want to do is you want to say my loss