79
GitHub - singlasahil14/sortpool2d: A new kind of pooling layer for faster and sh...
source link: https://github.com/singlasahil14/sortpool2d
Go to the source link to view the article. You can view the picture content, updated content and better typesetting reading experience. If the link is broken, please click the button below to view the snapshot at that time.
loss-exps
Experiments with a different pooling layer for image classification
Run cluttered mnist experiments
python train.py --result cluttered-mnist/pool-1 --pool-range 1 # val_cross_entropy 0.259 python train.py --result cluttered-mnist/pool-2 --pool-range 2 # val_cross_entropy 0.202 python train.py --result cluttered-mnist/pool-3 --pool-range 3 # val_cross_entropy 0.196 python train.py --result cluttered-mnist/pool-4 --pool-range 4 # val_cross_entropy 0.196
Run fashion mnist experiments
python train.py --result fashion-mnist/pool-1 --pool-range 1 --dataset fashion-mnist # val_cross_entropy 0.291 python train.py --result fashion-mnist/pool-2 --pool-range 2 --dataset fashion-mnist # val_cross_entropy 0.282 python train.py --result fashion-mnist/pool-3 --pool-range 3 --dataset fashion-mnist # val_cross_entropy 0.268 python train.py --result fashion-mnist/pool-4 --pool-range 4 --dataset fashion-mnist # val_cross_entropy 0.276
To access all command line arguments
python train.py -h
Recommend
About Joyk
Aggregate valuable and interesting links.
Joyk means Joy of geeK