Models:
Samuel Callahan
SCallahan/
brainchop
0
Downloads: 1
[b86468]: / py2tfjs / conversion_example / modelAE.json

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{

  "header": "Autoencoder-like architecture for 256^3 brains",

  "bnorm": true,

  "gelu": true,

  "dropout_p": 0,

  "layers": [

    {

      "in_channels": -1,

      "out_channels":  5,

      "kernel_size": 3,

      "padding": 1,

      "stride": 1,

      "dilation": 1

    },

    {

      "in_channels": 5,

      "out_channels": 5,

      "kernel_size": 3,

      "padding": 2,

      "stride": 1,

      "dilation": 2

    },

    {

      "in_channels": 5,

      "out_channels": 5,

      "kernel_size": 3,

      "padding": 3,

      "stride": 1,

      "dilation": 3

    },

    {

      "in_channels": 5,

      "out_channels": 5,

      "kernel_size": 3,

      "padding": 4,

      "stride": 1,

      "dilation": 4

    },

    {

      "in_channels": 5,

      "out_channels": 5,

      "kernel_size": 3,

      "padding": 5,

      "stride": 1,

      "dilation": 5

    },

    {

      "in_channels": 5,

      "out_channels": 5,

      "kernel_size": 3,

      "padding": 6,

      "stride": 1,

      "dilation": 6

    },

    {

      "in_channels": 5,

      "out_channels": 5,

      "kernel_size": 3,

      "padding": 7,

      "stride": 1,

      "dilation": 7

    },

    {

      "in_channels": 5,

      "out_channels": 5,

      "kernel_size": 3,

      "padding": 8,

      "stride": 1,

      "dilation": 8

    },

    {

      "in_channels": 5,

      "out_channels": 5,

      "kernel_size": 3,

      "padding": 12,

      "stride": 1,

      "dilation": 12

    },

    {

      "in_channels": 5,

      "out_channels": 5,

      "kernel_size": 3,

      "padding": 16,

      "stride": 1,

      "dilation": 16

    },

    {

      "in_channels": 5,

      "out_channels": 5,

      "kernel_size": 3,

      "padding": 12,

      "stride": 1,

      "dilation": 12

    },

    {

      "in_channels": 5,

      "out_channels": 5,

      "kernel_size": 3,

      "padding": 8,

      "stride": 1,

      "dilation": 8

    }, 

    {

      "in_channels": 5,

      "out_channels": 5,

      "kernel_size": 3,

      "padding": 7,

      "stride": 1,

      "dilation": 7

    },

    {

      "in_channels": 5,

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      "kernel_size": 3,

      "padding": 6,

      "stride": 1,

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    },

    {

      "in_channels": 5,

      "out_channels": 5,

      "kernel_size": 3,

      "padding": 5,

      "stride": 1,

      "dilation": 5

    },

    {

      "in_channels": 5,

      "out_channels": 5,

      "kernel_size": 3,

      "padding": 4,

      "stride": 1,

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    },

    {

      "in_channels": 5,

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    {

      "in_channels": 5,

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      "padding": 1,

      "stride": 1,

      "dilation": 1

    },

    {

      "in_channels": 5,

      "out_channels": -1,

      "kernel_size": 1,

      "padding": 0,

      "stride": 1,

      "dilation": 1

    }

  ]

}