In a previous post I had described how I had stripped down SqueezeNet in order to make it fit on my Nvidia GTX 765M card. Adding the CUBAN input layers more than tripled the memory requirements of the first convolution, and put me at the very edge of available memory on my GPU. Desirous to … Continue reading Trying to Scale Up to Full-Size SqueezeNet
