Neural Information Processing Systems / Neural Networks / Deep Convolutional Neural Networks / GPU / A. Computational Resources / AAAI Press / Artificial Neural Networks / NVIDIA / Xilinx / Intel / /
Country
United States / /
Currency
pence / USD / /
Facility
Purdue University / /
IndustryTerm
non-linear operator / layer network / memory router / energy-based learning / host processor / parallel digital learning processor / the resources in the hardware / synthetic vision systems / real-time applications / real time / wearable support systems / large networks / document processing / security systems / stream processors / real-time implementation / convolutional networks / layer networks / cots hpc systems / real-world applications / vision applications / optimized software libraries / similar algorithms / vision systems / purpose processors / runtime reconfigurable dataflow processor / image processing / real-time processing / baseline application processor / recent algorithms / /
Organization
office of Naval Research / Rectified Linear Unit / Purdue University / Analysis and Machine Intelligence / US Federal Reserve / Weldon School of Biomedical Engineering / /
Person
I. Durdanovic / V / L. Van Gool / M. Sankaradas / V / J. Jin / V / Eugenio Culurciello / /
Product
CPU / a NVIDIA GeForce GTX 690 GPU / Torch7 software / CPU / Torch7 / /
Memory Access Optimized Routing Scheme for Deep Networks on a Mobile Coprocessor