Fast algorithms for convolutional neural networks
Deep convolutional neural networks take GPU-days of computation to train on large data
sets. Pedestrian detection for self driving cars requires very low latency. Image recognition …
sets. Pedestrian detection for self driving cars requires very low latency. Image recognition …
[PDF][PDF] Fast Algorithms for Convolutional Neural Networks
A Lavin, S Gray - scholar.archive.org
Deep convolutional neural networks take GPU-days of computation to train on large data
sets. Pedestrian detection for self driving cars requires very low latency. Image recognition …
sets. Pedestrian detection for self driving cars requires very low latency. Image recognition …
Fast Algorithms for Convolutional Neural Networks
A Lavin, S Gray - arXiv e-prints, 2015 - ui.adsabs.harvard.edu
Deep convolutional neural networks take GPU days of compute time to train on large data
sets. Pedestrian detection for self driving cars requires very low latency. Image recognition …
sets. Pedestrian detection for self driving cars requires very low latency. Image recognition …
Fast Algorithms for Convolutional Neural Networks
A Lavin, S Gray - Proceedings of the IEEE Conference on …, 2016 - openaccess.thecvf.com
Deep convolutional neural networks take GPU-days of computation to train on large data
sets. Pedestrian detection for self driving cars requires very low latency. Image recognition …
sets. Pedestrian detection for self driving cars requires very low latency. Image recognition …
[PDF][PDF] Fast Algorithms for Convolutional Neural Networks
A Lavin, S Gray - arXiv preprint arXiv:1509.09308, 2015 - academia.edu
Deep convolutional neural networks take GPU days of compute time to train on large data
sets. Pedestrian detection for self driving cars requires very low latency. Image recognition …
sets. Pedestrian detection for self driving cars requires very low latency. Image recognition …
[引用][C] Fast Algorithms for Convolutional Neural Networks
A Lavin, S Gray - 2016 IEEE Conference on Computer Vision and …, 2016 - cir.nii.ac.jp
Fast Algorithms for Convolutional Neural Networks
A Lavin, S Gray - 2016 IEEE Conference on Computer Vision …, 2016 - ieeexplore.ieee.org
Deep convolutional neural networks take GPU-days of computation to train on large data
sets. Pedestrian detection for self driving cars requires very low latency. Image recognition …
sets. Pedestrian detection for self driving cars requires very low latency. Image recognition …
Fast Algorithms for Convolutional Neural Networks
A Lavin, S Gray - 2016 IEEE Conference on Computer Vision and …, 2016 - computer.org
Deep convolutional neural networks take GPU-days of computation to train on large data
sets. Pedestrian detection for self driving cars requires very low latency. Image recognition …
sets. Pedestrian detection for self driving cars requires very low latency. Image recognition …
Fast Algorithms for Convolutional Neural Networks
A Lavin, S Gray - arXiv preprint arXiv:1509.09308, 2015 - arxiv.org
Deep convolutional neural networks take GPU days of compute time to train on large data
sets. Pedestrian detection for self driving cars requires very low latency. Image recognition …
sets. Pedestrian detection for self driving cars requires very low latency. Image recognition …
Fast Algorithms for Convolutional Neural Networks
A Lavin, S Gray - 2016 IEEE Conference on Computer Vision …, 2016 - store.computer.org
Deep convolutional neural networks take GPU-days of computation to train on large data
sets. Pedestrian detection for self driving cars requires very low latency. Image recognition …
sets. Pedestrian detection for self driving cars requires very low latency. Image recognition …