Search Results for author: Tom Bannink

Found 1 papers, 1 papers with code

Larq Compute Engine: Design, Benchmark, and Deploy State-of-the-Art Binarized Neural Networks

1 code implementation18 Nov 2020 Tom Bannink, Arash Bakhtiari, Adam Hillier, Lukas Geiger, Tim de Bruin, Leon Overweel, Jelmer Neeven, Koen Helwegen

We introduce Larq Compute Engine, the world's fastest Binarized Neural Network (BNN) inference engine, and use this framework to investigate several important questions about the efficiency of BNNs and to design a new state-of-the-art BNN architecture.

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