Neural Network from CEVA

CEVA has introduced its CDNN2 (CEVA Deep Neural Network), its second generation neural network software framework for machine learning

By David Manners-Electronics Weekly, Jun. 28, 2016 – 

CDNN2 enables localised, deep learning-based video analytics on camera devices in real time. This significantly reduces data bandwidth and storage compared to running such analytics in the cloud, while lowering latency and increasing privacy.

Coupled with the CEVA-XM4 intelligent vision processor, CDNN2 offers significant time-to-market and power advantages for implementing machine learning in embedded systems for smartphones, advanced driver assistance systems (ADAS), surveillance equipment, drones, robots and other camera-enabled smart devices.

CDNN2 builds on CEVA's first generation neural network software framework (CDNN), which is already in design with multiple customers and partners.

It adds support for TensorFlow, Google's software library for machine learning, as well as offering improved capabilities and performance for the most sophisticated and latest network topologies and layers.

CDNN2 also supports fully convolutional networks, thereby allowing any given network to work with any input resolution.

Using a set of enhanced APIs, CDNN2 improves the overall system performance, including direct offload from the CPU to the CEVA-XM4 for various neural network-related tasks.

 Back