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vgg161d_imgsize160.sh
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python single_gpu_train_imgnet.py -a vgg16_1d --layer 11 --dataset /datasets/imagenet/ --epochs 90 --schedule 30 60 --gamma 0.1 --wd 1e-4 --checkpoint /trained-models/imagenet/vgg161d_imgsize160/vgg161d_1153_100/ --train-batch 128 --lr 0.1 --workers 8 --img_size 160 --gpu-id 5
python single_gpu_train_imgnet.py -a vgg16_1d --layer 12 --dataset /datasets/imagenet/ --epochs 90 --schedule 30 60 --gamma 0.1 --wd 1e-4 --checkpoint /trained-models/imagenet/vgg161d_imgsize160/vgg161d_1253_100/ --train-batch 128 --lr 0.1 --workers 8 --img_size 160 --gpu-id 5
python single_gpu_train_imgnet.py -a vgg16_1d --layer 21 --dataset /datasets/imagenet/ --epochs 90 --schedule 30 60 --gamma 0.1 --wd 1e-4 --checkpoint /trained-models/imagenet/vgg161d_imgsize160/vgg161d_2153_100/ --train-batch 128 --lr 0.1 --workers 8 --img_size 160 --gpu-id 5
python single_gpu_train_imgnet.py -a vgg16_1d --layer 22 --dataset /datasets/imagenet/ --epochs 90 --schedule 30 60 --gamma 0.1 --wd 1e-4 --checkpoint /trained-models/imagenet/vgg161d_imgsize160/vgg161d_2253_100/ --train-batch 128 --lr 0.1 --workers 8 --img_size 160 --gpu-id 5
python single_gpu_train_imgnet.py -a vgg16_1d --layer 31 --dataset /datasets/imagenet/ --epochs 90 --schedule 30 60 --gamma 0.1 --wd 1e-4 --checkpoint /trained-models/imagenet/vgg161d_imgsize160/vgg161d_3153_100/ --train-batch 128 --lr 0.1 --workers 8 --img_size 160 --gpu-id 5
python single_gpu_train_imgnet.py -a vgg16_1d --layer 32 --dataset /datasets/imagenet/ --epochs 90 --schedule 30 60 --gamma 0.1 --wd 1e-4 --checkpoint /trained-models/imagenet/vgg161d_imgsize160/vgg161d_3253_100/ --train-batch 128 --lr 0.1 --workers 8 --img_size 160 --gpu-id 5
python single_gpu_train_imgnet.py -a vgg16_1d --layer 33 --dataset /datasets/imagenet/ --epochs 90 --schedule 30 60 --gamma 0.1 --wd 1e-4 --checkpoint /trained-models/imagenet/vgg161d_imgsize160/vgg161d_3353_100/ --train-batch 128 --lr 0.1 --workers 8 --img_size 160 --gpu-id 5
python single_gpu_train_imgnet.py -a vgg16_1d --layer 41 --dataset /datasets/imagenet/ --epochs 90 --schedule 30 60 --gamma 0.1 --wd 1e-4 --checkpoint /trained-models/imagenet/vgg161d_imgsize160/vgg161d_4153_100/ --train-batch 128 --lr 0.1 --workers 8 --img_size 160 --gpu-id 5
python single_gpu_train_imgnet.py -a vgg16_1d --layer 42 --dataset /datasets/imagenet/ --epochs 90 --schedule 30 60 --gamma 0.1 --wd 1e-4 --checkpoint /trained-models/imagenet/vgg161d_imgsize160/vgg161d_4253_100/ --train-batch 128 --lr 0.1 --workers 8 --img_size 160 --gpu-id 5
python single_gpu_train_imgnet.py -a vgg16_1d --layer 43 --dataset /datasets/imagenet/ --epochs 90 --schedule 30 60 --gamma 0.1 --wd 1e-4 --checkpoint /trained-models/imagenet/vgg161d_imgsize160/vgg161d_4353_100/ --train-batch 128 --lr 0.1 --workers 8 --img_size 160 --gpu-id 5
python single_gpu_train_imgnet.py -a vgg16_1d --layer 51 --dataset /datasets/imagenet/ --epochs 90 --schedule 30 60 --gamma 0.1 --wd 1e-4 --checkpoint /trained-models/imagenet/vgg161d_imgsize160/vgg161d_5153_100/ --train-batch 128 --lr 0.1 --workers 8 --img_size 160 --gpu-id 5
python single_gpu_train_imgnet.py -a vgg16_1d --layer 52 --dataset /datasets/imagenet/ --epochs 90 --schedule 30 60 --gamma 0.1 --wd 1e-4 --checkpoint /trained-models/imagenet/vgg161d_imgsize160/vgg161d_5253_100/ --train-batch 128 --lr 0.1 --workers 8 --img_size 160 --gpu-id 5
python single_gpu_train_imgnet.py -a vgg16_1d --layer 53 --dataset /datasets/imagenet/ --epochs 90 --schedule 30 60 --gamma 0.1 --wd 1e-4 --checkpoint /trained-models/imagenet/vgg161d_imgsize160/vgg161d_5353_100/ --train-batch 128 --lr 0.1 --workers 8 --img_size 160 --gpu-id 5
python single_gpu_train_imgnet.py -a vgg16_1d --layer 99 --dataset /datasets/imagenet/ --epochs 90 --schedule 30 60 --gamma 0.1 --wd 1e-4 --checkpoint /trained-models/imagenet/vgg161d_imgsize160/vgg161d_9953_100/ --train-batch 128 --lr 0.1 --workers 8 --img_size 160 --gpu-id 5