GPUs Help Microsoft Build Record-Breaking Image Recognition System

Thanks to the use of GPUs, Microsoft researchers achieved record results on ImageNet, a prestigious image-recognition benchmark.

Compared to last year, Microsoft’s system cut the top-5 error rate by half, correctly classifying images within 1,000 pre-defined categories more than 96 percent of the time. ca-imagenetTheir system uses a 152-layer neural network, which is nearly five times deeper than the state of the art.

The researchers published a paper that provides more information on the deep learning framework used to win the ImageNet benchmark.

Read more on the NVIDIA blog >>

About Brad Nemire

Brad Nemire
Brad Nemire is on the Developer Marketing team and loves reading about all of the fascinating research being done by developers using NVIDIA GPUs. Reach out to Brad on Twitter @BradNemire and let him know how you’re using GPUs to accelerate your research. Brad graduated from San Diego State University and currently resides in San Jose, CA. Follow @BradNemire on Twitter