Convolution seems like a good target example for #270, since we’ll need a way to specify/navigate to the appropriate intermediate value for the weightedSum computation. Currently weightedSum is ...
Abstract: We present FastConv, a template-based code auto-generation open-source library that can automatically generate high-performance deep learning convolution kernels of arbitrary ...
Traffic sign recognition is based on pattern recognition algorithms that are well understood by machine vision specialists. The first two parts of this series detailed a camera-based traffic-sign ...
Abstract: We investigate graph convolution networks with efficient learning from higher-order graph convolutions and direct learning from adjacency matrices for node classification. We revisit the ...
This repository demonstrates a novel technique for feature encoding in neural network (NN) matrices. Instead of expanding matrix size (by adding channels) or increasing compute via multiplication, ...