config.json

{
  "architectures": [
        "CustomInceptionV3"
    ],
  "input_shape": [224, 224, 3],
  "weights": "imagenet",
  "include_top": false,
  "flatten": true,
  "dense_units": 3, 
  "activation": "softmax",
  "train_datagen_params": {
    "rescale": 0.00392156862,
    "shear_range": 0.2,
    "zoom_range": 0.2,
    "horizontal_flip": true
  },
  "test_datagen_params": {
    "rescale": 0.00392156862
  },
  "target_size": [224, 224],
  "batch_size": 32,
  "class_mode": "categorical"
}