- Baidu claims a 5.98 percent error rate on the ImageNet object classification benchmark; a team from Google won the 2014 ImageNet competition with a 6.66 percent error rate.In experiments, humans achieved an estimated error rate of 5.1 percent on the ImageNet dataset.
- The star of Deep Image is almost certainly the supercomputer, called Minwa, which Baidu built to house the system.
- Here’s how paper describes its specifications: It is comprised of 36 server nodes, each with 2 six-core Intel Xeon E5-2620 processors. Each sever contains 4 Nvidia Tesla K40m GPUs and one FDR InfiniBand (56Gb/s) which is a high-performance low-latency interconnection and supports RDMA. The peak single precision floating point performance of each GPU is 4.29TFlops and each GPU has 12GB of memory.
Baidu built a supercomputer for deep learning
1. 16. 15 by Amber Raynolds