Binarized Convolutional Neural Networks with Separable Filters for Efficient Hardware Acceleration

Jeng-Hau Lin, Tianwei Xing, Ritchie Zhao +4

State-of-the-art convolutional neural networks are enormously costly in both compute and memory, demanding massively parallel GPUs for execution. Such networks strain the computati…