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updated example comments
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@ -197,7 +197,7 @@ int main(int argc, char** argv) try
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layer<1> fc (num_outputs=10) learning_rate_mult=1 weight_decay_mult=1 bias_learning_rate_mult=1 bias_weight_decay_mult=0
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layer<2> avg_pool (nr=0, nc=0, stride_y=1, stride_x=1, padding_y=0, padding_x=0)
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layer<3> prelu (initial_param_value=0.2)
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layer<4> add_prev
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layer<4> add_prev1
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layer<5> bn_con eps=1e-05 learning_rate_mult=1 weight_decay_mult=0 bias_learning_rate_mult=1 bias_weight_decay_mult=1
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layer<6> con (num_filters=8, nr=3, nc=3, stride_y=1, stride_x=1, padding_y=1, padding_x=1) learning_rate_mult=1 weight_decay_mult=1 bias_learning_rate_mult=1 bias_weight_decay_mult=0
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layer<7> prelu (initial_param_value=0.25)
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@ -211,7 +211,7 @@ int main(int argc, char** argv) try
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layer<37> tag1
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layer<38> tag4
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layer<39> prelu (initial_param_value=0.3)
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layer<40> add_prev
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layer<40> add_prev1
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layer<41> bn_con eps=1e-05 learning_rate_mult=1 weight_decay_mult=0 bias_learning_rate_mult=1 bias_weight_decay_mult=1
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...
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layer<118> relu
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@ -219,7 +219,7 @@ int main(int argc, char** argv) try
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layer<120> con (num_filters=8, nr=3, nc=3, stride_y=2, stride_x=2, padding_y=0, padding_x=0) learning_rate_mult=1 weight_decay_mult=1 bias_learning_rate_mult=1 bias_weight_decay_mult=0
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layer<121> tag1
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layer<122> relu
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layer<123> add_prev
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layer<123> add_prev1
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layer<124> bn_con eps=1e-05 learning_rate_mult=1 weight_decay_mult=0 bias_learning_rate_mult=1 bias_weight_decay_mult=1
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layer<125> con (num_filters=8, nr=3, nc=3, stride_y=1, stride_x=1, padding_y=1, padding_x=1) learning_rate_mult=1 weight_decay_mult=1 bias_learning_rate_mult=1 bias_weight_decay_mult=0
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layer<126> relu
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