annotate test-data/keras05.json @ 40:96bb4c49e30e draft default tip

planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 57a0433defa3cbc37ab34fbb0ebcfaeb680db8d5

{
  "class_name": "Sequential",
  "config": {
    "name": "sequential",
    "layers": [
      {
        "class_name": "InputLayer",
        "config": {
          "batch_input_shape": [
            null,
            32,
            32,
            3
          ],
          "dtype": "float32",
          "sparse": false,
          "ragged": false,
          "name": "conv2d_input"
        }
      },
      {
        "class_name": "Conv2D",
        "config": {
          "name": "conv2d",
          "trainable": true,
          "batch_input_shape": [
            null,
            32,
            32,
            3
          ],
          "dtype": "float32",
          "filters": 32,
          "kernel_size": [
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            3
          ],
          "strides": [
            1,
            1
          ],
          "padding": "same",
          "data_format": "channels_last",
          "dilation_rate": [
            1,
            1
          ],
          "groups": 1,
          "activation": "relu",
          "use_bias": true,
          "kernel_initializer": {
            "class_name": "GlorotUniform",
            "config": {
              "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": "MaxPooling2D",
        "config": {
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          "trainable": true,
          "dtype": "float32",
          "pool_size": [
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            2
          ],
          "padding": "valid",
          "strides": [
            2,
            2
          ],
          "data_format": "channels_last"
        }
      },
      {
        "class_name": "Dropout",
        "config": {
          "name": "dropout",
          "trainable": true,
          "dtype": "float32",
          "rate": 0.25,
          "noise_shape": null,
          "seed": null
        }
      },
      {
        "class_name": "Conv2D",
        "config": {
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          "dtype": "float32",
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          "kernel_size": [
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            3
          ],
          "strides": [
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            1
          ],
          "padding": "same",
          "data_format": "channels_last",
          "dilation_rate": [
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            1
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          "groups": 1,
          "activation": "relu",
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          "kernel_initializer": {
            "class_name": "GlorotUniform",
            "config": {
              "seed": null
            }
          },
          "bias_initializer": {
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            "config": {}
          },
          "kernel_regularizer": null,
          "bias_regularizer": null,
          "activity_regularizer": null,
          "kernel_constraint": null,
          "bias_constraint": null
        }
      },
      {
        "class_name": "MaxPooling2D",
        "config": {
          "name": "max_pooling2d_1",
          "trainable": true,
          "dtype": "float32",
          "pool_size": [
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            2
          ],
          "padding": "valid",
          "strides": [
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            2
          ],
          "data_format": "channels_last"
        }
      },
      {
        "class_name": "Dropout",
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          "name": "dropout_1",
          "trainable": true,
          "dtype": "float32",
          "rate": 0.25,
          "noise_shape": null,
          "seed": null
        }
      },
      {
        "class_name": "Flatten",
        "config": {
          "name": "flatten",
          "trainable": true,
          "dtype": "float32",
          "data_format": "channels_last"
        }
      },
      {
        "class_name": "Dense",
        "config": {
          "name": "dense",
          "trainable": true,
          "dtype": "float32",
          "units": 512,
          "activation": "relu",
          "use_bias": true,
          "kernel_initializer": {
            "class_name": "GlorotUniform",
            "config": {
              "seed": null
            }
          },
          "bias_initializer": {
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          },
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          "bias_regularizer": null,
          "activity_regularizer": null,
          "kernel_constraint": null,
          "bias_constraint": null
        }
      },
      {
        "class_name": "Dropout",
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          "trainable": true,
          "dtype": "float32",
          "rate": 0.5,
          "noise_shape": null,
          "seed": null
        }
      },
      {
        "class_name": "Dense",
        "config": {
          "name": "dense_1",
          "trainable": true,
          "dtype": "float32",
          "units": 10,
          "activation": "softmax",
          "use_bias": true,
          "kernel_initializer": {
            "class_name": "GlorotUniform",
            "config": {
              "seed": null
            }
          },
          "bias_initializer": {
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            "config": {}
          },
          "kernel_regularizer": null,
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          "activity_regularizer": null,
          "kernel_constraint": null,
          "bias_constraint": null
        }
      }
    ]
  },
  "keras_version": "2.10.0",
  "backend": "tensorflow"
}