with saturation and a lack of gradient this cost function continues to learn rapidly so this is the default cost function usually advocate that most people use even though it's not quite as theoretically appealing generative address trail networks did not really scale to very large inputs when my co-authors and I first developed them and eventually they were scaled to large images using a hand design process called lap Gans that used a laplacian pyramid to separate the image into multiple scales and generate each scale