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layer {
  name: "input"
  type: "Input"
  top: "data"
  input_param {
    shape { dim: 1 dim: 3 dim: 500 dim: 500 }
  }
}
layer {
  name: "conv1_1"

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---
Language:        Cpp
# BasedOnStyle:  Chromium
AccessModifierOffset: -1
AlignAfterOpenBracket: Align
AlignConsecutiveAssignments: false
AlignConsecutiveDeclarations: false
AlignEscapedNewlines: Left
AlignOperands:   true
AlignTrailingComments: true

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name: "FCNVGG16Train"
layer {
  name: "input"
  type: "Input"
  top: "data"
  top: "label"
  input_param {
    # These dimensions are purely for sake of example;
    # see infer.py for how to reshape the net to the given input size.
    shape { dim: 1 dim: 3 dim: 500 dim: 500 }

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name: "FCNVGG8"
layer {
  name: "input"
  type: "Input"
  top: "data"
  input_param {
    # These dimensions are purely for sake of example;
    # see infer.py for how to reshape the net to the given input size.
    shape { dim: 1 dim: 3 dim: 500 dim: 500 }
  }

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#
input: "data"
input_dim: 1
input_dim: 3
input_dim: 713
input_dim: 713

layer {
  name: "conv1_1_3x3_s2"
  type: "Convolution"

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"tench, Tinca tinca"
"goldfish, Carassius auratus"
"great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias"
"tiger shark, Galeocerdo cuvieri"
"hammerhead, hammerhead shark"
"electric ray, crampfish, numbfish, torpedo"
"stingray"
"cock"
"hen"
"ostrich, Struthio camelus"