{
  "name": "my_model",
  "layers": [
    {
      "class_name": "InputLayer",
      "config": {
        "batch_input_shape": [
          null,
          28,
          28
        ],
        "dtype": "float32",
        "sparse": false,
        "name": "pictures"
      },
      "name": "pictures",
      "inbound_nodes": []
    },
    {
      "class_name": "Dense",
      "config": {
        "name": "dense_1",
        "trainable": true,
        "dtype": "float32",
        "units": 128,
        "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
      },
      "name": "dense_1",
      "inbound_nodes": [
        [
          [
            "pictures",
            0,
            0,
            {}
          ]
        ]
      ]
    },
    {
      "class_name": "Dense",
      "config": {
        "name": "activations",
        "trainable": true,
        "dtype": "float32",
        "units": 10,
        "activation": "softmax",
        "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
      },
      "name": "activations",
      "inbound_nodes": [
        [
          [
            "dense_1",
            0,
            0,
            {}
          ]
        ]
      ]
    }
  ],
  "input_layers": [
    [
      "pictures",
      0,
      0
    ]
  ],
  "output_layers": [
    [
      "activations",
      0,
      0
    ]
  ]
}