going to actually output a distribution over the possible values because it won't test and we can then do a softmax puzzle to be lost instead of mean square error loss and it's in general it works out really well and deep learning to do this you've also seen how it worked out really well in pixel RNN and where where all the pixels were quantized to discrete categories instead of using a Gaussian mean square error going to use the process to be lost and that produces sharper images so here here's how it goes you you basically take an image you