Efficient Error-Tolerant Quantized Neural Network Accelerators
Efficient Error-Tolerant Quantized Neural Network Accelerators
Neural Networks are currently one of the most widely deployed machine learning algorithms. In particular, Convolutional Neural Networks (CNNs), are gaining popularity and are evaluated for deployment in safety critical applications such as self driving vehicles. Modern CNNs feature enormous memory bandwidth and high computational needs, challenging existing hardware platforms …