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Update NN models.
* Update cifar10_fast network (retrained for better accuracy). * Fix and update smile network (use hdf5 for consistency with other models and update hyper-parameters).
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@ -3,8 +3,8 @@ net: "models/smile/smile_train_test.prototxt"
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# Specifies how many forward passes the test should carry out.
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# Test batch size 48*30 iterations = 1440 testing images.
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test_iter: 30
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# Carry out testing every 500 training iterations.
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test_interval: 500
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# Carry out testing every 1000 training iterations.
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test_interval: 1000
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# The learning rate policy
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# begin training at a learning rate of 0.01 = 1e-2
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base_lr: 0.01
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@ -17,13 +17,14 @@ lr_policy: "step"
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# (i.e., multiply it by a factor of gamma = 0.1)
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gamma: 0.1
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# Drop the learning rate every 10K iterations
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stepsize: 40000
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stepsize: 10000
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# train for 100K iterations total
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max_iter: 200000
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max_iter: 60000
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# Display every 100 iterations
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display: 100
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# snapshot intermediate results
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snapshot: 20000
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snapshot_format: HDF5
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snapshot_prefix: "models/smile/smile"
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# solver mode: CPU or GPU
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solver_mode: GPU
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@ -59,7 +59,7 @@ layer {
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}
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}
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layer {
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name: "dropout"
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name: "dropout1"
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type: "Dropout"
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bottom: "conv1"
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top: "conv1"
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@ -113,7 +113,7 @@ layer {
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}
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}
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layer {
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name: "dropout"
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name: "dropout2"
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type: "Dropout"
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bottom: "conv2"
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top: "conv2"
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@ -161,7 +161,7 @@ layer {
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}
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}
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layer {
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name: "dropout"
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name: "dropout3"
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type: "Dropout"
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bottom: "conv3"
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top: "conv3"
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@ -5,4 +5,4 @@ TOOLS=./caffe/build/tools
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$TOOLS/caffe test \
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--model=models/smile/smile_train_test.prototxt \
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--weights=models/smile/smile_iter_200000.caffemodel $@
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--weights=models/smile/smile_iter_60000.caffemodel.h5 $@
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