See how Xilinx FPGAs can accelerate a critical data center workload, machine learning, through a deep learning example of image classification. The demo accelerates classification of images, taken from ImageNet, through an Alexnet neural network model. It’s implemented through the open source framework, Caffe and accelerated with the Xilinx xDNN library to be fully optimized delivering the highest compute efficiency for 8 bit inference.