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SimpNetV2/Experiments/Table VI(Strided Conv VS MaxPooling)/Strided convolution vs Pooling/CIFAR10/Max Pooling_93.75/caffe_93.48_t2.log

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SimpNetV2/Experiments/Table VI(Strided Conv VS MaxPooling)/Strided convolution vs Pooling/CIFAR10/Max Pooling_93.75/caffe_93.58_t1.log

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SimpNetV2/Experiments/Table VI(Strided Conv VS MaxPooling)/Strided convolution vs Pooling/CIFAR10/Max Pooling_93.75/caffe_93.58_t1_r.log

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SimpNetV2/Experiments/Table VI(Strided Conv VS MaxPooling)/Strided convolution vs Pooling/CIFAR10/Max Pooling_93.75/caffe_93.66_t2_r.log

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SimpNetV2/Experiments/Table VI(Strided Conv VS MaxPooling)/Strided convolution vs Pooling/CIFAR10/Max Pooling_93.75/caffe_93.75_t1_r.log

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# The train/test net protocol buffer definition
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net: "examples/cifar10/cifar10_full_relu_train_test_bn.prototxt"
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test_iter: 100
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test_interval: 500
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# The learning rate policy
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base_lr: 0.1
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momentum: 0.90
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weight_decay: 0.005 #0.005
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type:"AdaDelta"
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delta:1e-3
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gamma: 0.1
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lr_policy: "multistep"
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stepvalue: 50000
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stepvalue: 95000
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stepvalue: 153000
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stepvalue: 195000
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stepvalue: 220000
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stepvalue: 270000
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# Display every 200 iterations
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display: 100
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# The maximum number of iterations
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max_iter: 400000
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# snapshot intermediate results
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snapshot: 500
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snapshot_prefix: "examples/cifar10/snaps/resnet32_with3pooling"
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# solver mode: CPU or GPU
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solver_mode: GPU
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random_seed: 786

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