Using Commercial Fpgas As External Accelerators For Artificial Neural Networks In Embedded Applications

Abstract Artificial Neural Networks (ANNs) is a branch of Machine Learning that has seen recent widespread adoption for solving computational problems that seem impractical to solve with traditional algorithmic approaches. ANNs have achieved high accuracy on tasks such as facial recognition, object detection and speech recognition. And recently, ANNs have also seen applications in embedded systems, where it has been used to train robots to learn from their environment and cameras to detect faces in a crowd. However, achieving reasonable performance on a traditional microcontroller can be diffi…