Mercurial > repos > bgruening > scipy_sparse

view test-data/keras04.json @ 38:f49aad8f79ea draft

Find changesets by keywords (author, files, the commit message), revision number or hash, or revset expression.
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 8850f42c2c3763e614f7454c9c006f3d2ff572c0
author bgruening
date Fri, 27 May 2022 11:56:29 +0000
parents a2da4cebc584
children 5af054432771
line wrap: on
line source

{
  "class_name": "Sequential",
  "config": {
    "name": "sequential_1",
    "layers": [
      {
        "class_name": "Dense",
        "config": {
          "name": "dense_1",
          "trainable": true,
          "batch_input_shape": [
            null,
            17
          ],
          "dtype": "float32",
          "units": 32,
          "activation": "linear",
          "use_bias": true,
          "kernel_initializer": {
            "class_name": "VarianceScaling",
            "config": {
              "scale": 1.0,
              "mode": "fan_avg",
              "distribution": "uniform",
              "seed": null
            }
          },
          "bias_initializer": {
            "class_name": "Zeros",
            "config": {}
          },
          "kernel_regularizer": null,
          "bias_regularizer": null,
          "activity_regularizer": null,
          "kernel_constraint": null,
          "bias_constraint": null
        }
      },
      {
        "class_name": "Activation",
        "config": {
          "name": "activation_1",
          "trainable": true,
          "dtype": "float32",
          "activation": "linear"
        }
      },
      {
        "class_name": "Dense",
        "config": {
          "name": "dense_2",
          "trainable": true,
          "dtype": "float32",
          "units": 1,
          "activation": "linear",
          "use_bias": true,
          "kernel_initializer": {
            "class_name": "VarianceScaling",
            "config": {
              "scale": 1.0,
              "mode": "fan_avg",
              "distribution": "uniform",
              "seed": null
            }
          },
          "bias_initializer": {
            "class_name": "Zeros",
            "config": {}
          },
          "kernel_regularizer": null,
          "bias_regularizer": null,
          "activity_regularizer": null,
          "kernel_constraint": null,
          "bias_constraint": null
        }
      },
      {
        "class_name": "Activation",
        "config": {
          "name": "activation_2",
          "trainable": true,
          "dtype": "float32",
          "activation": "linear"
        }
      }
    ]
  },
  "keras_version": "2.3.1",
  "backend": "tensorflow"
}