tradnet_cuda.json

{
    "layers": [
        {
            "_realType": "LinearLayer",
            "name": "l1",
            "momentum": 0.9,
            "weightDecay": 0.0005,
            "numInputs": 784,
            "numOutputs": 300
        },
        {
            "_realType": "TanhNeuronLayer",
            "name": "r1"
        },
        {
            "_realType": "LinearLayer",
            "name": "l2",
            "momentum": 0.9,
            "weightDecay": 0.0005,
            "numInputs": 300,
            "numOutputs": 500
        },
        {
            "_realType": "TanhNeuronLayer",
            "name": "r2"
        },
        {
            "_realType": "LinearLayer",
            "name": "l3",
            "momentum": 0.9,
            "weightDecay": 0.0005,
            "numInputs": 500,
            "numOutputs": 200
        },
        {
            "_realType": "TanhNeuronLayer",
            "name": "r3"
        },
        {
            "_realType": "LinearLayer",
            "name": "lt",
            "momentum": 0.9,
            "weightDecay": 0.0005,
            "numInputs": 200,
            "numOutputs": 50
        },
        {
            "_realType": "TanhNeuronLayer",
            "name": "rt"
        },
        {
            "_realType": "LinearLayer",
            "name": "l4",
            "momentum": 0.9,
            "weightDecay": 0.0005,
            "numInputs": 50,
            "numOutputs": 10
        },
        {
            "_realType": "SoftmaxLayer",
            "name": "soft"
        }
    ],
    "cost": {
        "_realType": "LogLossCost"
    },
    "device": {
        "_realType": "cuda",
        "deviceId": 0
    }
}