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net: "cifar10_quick_train_test.prototxt"
test_iter: 100
test_interval: 500
base_lr: 0.00001
momentum: 0
lr_policy: "fixed"
display: 500
max_iter: 12000
solver_mode: GPU

name: "CIFAR10_quick"
layer {
  name: "cifar"
  type: "Data"
  top: "data"
  top: "label"
  include {
    phase: TRAIN
  }
  data_param {
    source: "cifar10_train_lmdb"
    batch_size: 100
    backend: LMDB
  }
}
layer {
  name: "cifar"
  type: "Data"
  top: "data"
  top: "label"
  include {
    phase: TEST
  }
  data_param {
    source: "cifar10_test_lmdb"
    batch_size: 100
    backend: LMDB
  }
}
layer {
  name: "ip1"
  type: "InnerProduct"
  bottom: "data"
  top: "ip1"
  inner_product_param {
    num_output: 128
    weight_filler {
      type: "gaussian"
      std: 0.1
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "ip2"
  type: "InnerProduct"
  bottom: "ip1"
  top: "ip2"
  inner_product_param {
    num_output: 128
    weight_filler {
      type: "gaussian"
      std: 0.1
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "ip3"
  type: "InnerProduct"
  bottom: "ip2"
  top: "ip3"
  inner_product_param {
    num_output: 10
    weight_filler {
      type: "gaussian"
      std: 0.1
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "softmax"
  type: "Softmax"
  bottom: "ip3"
  top: "softmax"
}
layer {
  name: "accuracy"
  type: "Accuracy"
  bottom: "softmax"
  bottom: "label"
  top: "accuracy"
  include {
    phase: TEST
  }
}
layer {
  name: "loss"
  type: "MultinomialLogisticLoss"
  bottom: "softmax"
  bottom: "label"
  top: "loss"
}