convnet_cuda.json

{
    "layers": [
        {
            "_realType": "ConvoLayer",
            "name": "C1",
            "momentum": 0.9,
            "weightDecay": 0.0005,
            "windowSizeX": 5,
            "windowSizeY": 5,
            "strideX": 1,
            "strideY": 1,
            "padWidth": 0,
            "padHeight": 0,
            "inputDepth": 1,
            "outputDepth": 32
        },
        {
            "_realType": "MaxPoolLayer",
            "name" : "MP1",
            "windowSizeX": 2,
            "windowSizeY": 2
        },
        {
            "_realType": "ConvoLayer",
            "name": "C3",
            "momentum": 0.9,
            "weightDecay": 0.0005,
            "windowSizeX": 4,
            "windowSizeY": 4,
            "strideX": 1,
            "strideY": 1,
            "inputDepth": 32,
            "outputDepth": 64
        },
        {
            "_realType": "MaxPoolLayer",
            "name": "MP2",
            "windowSizeX": 3,
            "windowSizeY": 3
        },
        {
            "_realType": "LinearLayer",
            "name": "L6",
            "momentum": 0.9,
            "weightDecay": 0.0005,
            "numInputs": 576,
            "numOutputs": 100
        },
        {
            "_realType": "TanhNeuronLayer",
            "name": "L6-NL"
        },
        {
            "_realType": "LinearLayer",
            "name": "L7",
            "momentum": 0.9,
            "weightDecay": 0.0005,
            "numInputs": 100,
            "numOutputs": 10
        },
        {
            "_realType": "SoftmaxLayer",
            "name": "soft"
        }
    ],
    "cost": {
        "_realType": "LogLossCost"
    },
    "device": {
        "_realType": "cuda",
        "deviceId": 0
    }
}