• FINN: A Framework for Fast, Scalable Binarized Neural Network Inference 

      Umuroglu, Yaman; Fraser, Nicholas J.; Gambardella, Giulio; Blott, Michaela; Leong, Philip W.; Jahre, Magnus; Vissers, Kees (Chapter, 2017)
      Research has shown that convolutional neural networks contain significant redundancy, and high classification accuracy can be obtained even when weights and activations are reduced from floating point to binary values. In ...
    • Scaling Binarized Neural Networks on Reconfigurable Logic 

      Fraser, Nicholas J.; Umuroglu, Yaman; Gambardella, Giulio; Blott, Michaela; Leong, Philip W.; Vissers, Kees; Jahre, Magnus (Chapter, 2017)
      Binarized neural networks (BNNs) are gaining interest in the deep learning community due to their significantly lower computational and memory cost. They are particularly well suited to reconfigurable logic devices, which ...