Binarized Convolutional Neural Networks for Efficient Inference on GPUs

no code implementations • 1 Aug 2018 • Mir Khan, Heikki Huttunen, Jani Boutellier

This representation completely eliminates the need for floating point multiplications and additions and decreases both the computational load and the memory footprint compared to a full-precision network implemented in floating point, making it well-suited for resource-constrained environments.

Binarization Image Classification