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@@ -11,7 +11,7 @@ layer {
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bottom: "input"
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top: "conv1"
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convolution_param {
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- num_output: 32
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+ num_output: 16
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kernel_size: 3
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stride: 1
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weight_filler {
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@@ -83,7 +83,7 @@ layer {
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bottom: "conv3"
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top: "conv4"
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convolution_param {
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- num_output: 64
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+ num_output: 128
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kernel_size: 3
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stride: 1
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weight_filler {
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@@ -131,7 +131,7 @@ layer {
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bottom: "conv5"
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top: "conv6"
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convolution_param {
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- num_output: 128
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+ num_output: 256
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kernel_size: 3
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stride: 1
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weight_filler {
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@@ -158,7 +158,7 @@ layer {
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num_output: 3
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kernel_size: 4
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stride: 2
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- pad: 1
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+ pad: 3
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weight_filler {
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type: "gaussian"
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std: 0.01
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