File size: 2,279 Bytes
3c2be94 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 |
{
"model_type": "pyTorchModel",
"num_classes": 4,
"layers": [
{
"type": "Conv2d",
"in_channels": 3,
"out_channels": 96,
"kernel_size": 11,
"stride": 4,
"padding": 0
},
{
"type": "BatchNorm2d",
"num_features": 96
},
{
"type": "ReLU"
},
{
"type": "MaxPool2d",
"kernel_size": 3,
"stride": 2
},
{
"type": "Conv2d",
"in_channels": 96,
"out_channels": 256,
"kernel_size": 5,
"stride": 1,
"padding": 2
},
{
"type": "BatchNorm2d",
"num_features": 256
},
{
"type": "ReLU"
},
{
"type": "MaxPool2d",
"kernel_size": 3,
"stride": 2
},
{
"type": "Conv2d",
"in_channels": 256,
"out_channels": 384,
"kernel_size": 3,
"stride": 1,
"padding": 1
},
{
"type": "BatchNorm2d",
"num_features": 384
},
{
"type": "ReLU"
},
{
"type": "Conv2d",
"in_channels": 384,
"out_channels": 384,
"kernel_size": 3,
"stride": 1,
"padding": 1
},
{
"type": "BatchNorm2d",
"num_features": 384
},
{
"type": "ReLU"
},
{
"type": "Conv2d",
"in_channels": 384,
"out_channels": 256,
"kernel_size": 3,
"stride": 1,
"padding": 1
},
{
"type": "BatchNorm2d",
"num_features": 256
},
{
"type": "ReLU"
},
{
"type": "MaxPool2d",
"kernel_size": 3,
"stride": 2
},
{
"type": "Dropout",
"p": 0.5
},
{
"type": "Linear",
"in_features": 9216,
"out_features": 4096
},
{
"type": "ReLU"
},
{
"type": "Dropout",
"p": 0.5
},
{
"type": "Linear",
"in_features": 4096,
"out_features": 4096
},
{
"type": "ReLU"
},
{
"type": "Linear",
"in_features": 4096,
"out_features": 4
}
]
}
|