GeneCAI: Genetic Evolution for Acquiring Compact AI

Understand

In the contemporary big data realm, Deep Neural Networks (DNNs) are evolving towards more complex architectures to achieve higher inference accuracy.

• Model compression techniques can be leveraged to efficiently deploy such compute-intensive architectures on resource-limited mobile devices.
• Such methods comprise various hyper-parameters that require per-layer customization to ensure high accuracy.
• Choosing such hyper-parameters is cumbersome as the pertinent search space grows exponentially with model layers.