Ce Zhang, Postdoctoral Researcher, Stanford University @ MLconf ATL

Caffe con Troll: Shallow Ideas to Speed Up Deep Learning We present Caffe con Troll (CcT), a fully compatible end-to-end version of the popular framework Caffe with rebuilt internals. We built CcT to examine the performance characteristics of training and deploying general-purpose convolutional neural networks across different hardware architectures. We find that, by employing standard batching optimizations for CPU training, we achieve a throughput improvement over Caffe on popular networks like Caffe