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ann-x-squared-approximation

PyTorch
ONNX
regression
function-approximation
single-hidden-layer
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ann-x-squared-approximation
File size: 1,224 Bytes
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{
  "architecture": {
    "hidden_units": 6,
    "activation": "sigmoid",
    "layers": [
      "Linear(1 -> h)",
      "sigmoid()",
      "Linear(h -> 1)"
    ]
  },
  "hidden_layer": {
    "weight": [
      [
        2.7088844776153564
      ],
      [
        2.8541743755340576
      ],
      [
        0.0023373549338430166
      ],
      [
        1.5461868047714233
      ],
      [
        0.0023936263751238585
      ],
      [
        -2.2972044944763184
      ]
    ],
    "bias": [
      -2.926323890686035,
      3.071049690246582,
      0.8033617734909058,
      -0.7763761878013611,
      0.7987249493598938,
      -2.333636999130249
    ]
  },
  "output_layer": {
    "weight": [
      [
        2.6142003536224365,
        -1.274052619934082,
        0.48730725049972534,
        0.3808853030204773,
        0.6062461137771606,
        1.6951392889022827
      ]
    ],
    "bias": [
      0.062105655670166016
    ]
  },
  "run_id": "random_600_hidden6_mae_sigmoid",
  "metrics": {
    "mse": 5.962054646594423e-06,
    "rmse": 0.0024417318949046,
    "mae": 0.0017995336077233,
    "mape": 49.756466100269705,
    "r2": 0.99993212811375
  }
}