no code implementations • 30 Sep 2022 • Binyi Wu, Bernd Waschneck, Christian Georg Mayr
It has been proven that, compared to using 32-bit floating-point numbers in the training phase, Deep Convolutional Neural Networks (DCNNs) can operate with low precision during inference, thereby saving memory space and power consumption.