task.json

{
    "module": "keras_hub.src.models.efficientnet.efficientnet_image_classifier",
    "class_name": "EfficientNetImageClassifier",
    "config": {
        "backbone": {
            "module": "keras_hub.src.models.efficientnet.efficientnet_backbone",
            "class_name": "EfficientNetBackbone",
            "config": {
                "name": "efficient_net_backbone",
                "trainable": true,
                "width_coefficient": 1.0,
                "depth_coefficient": 1.0,
                "dropout": 0,
                "depth_divisor": 8,
                "min_depth": null,
                "activation": "swish",
                "input_shape": [
                    null,
                    null,
                    3
                ],
                "stackwise_kernel_sizes": [
                    3,
                    3,
                    5,
                    3,
                    5,
                    5,
                    3
                ],
                "stackwise_num_repeats": [
                    1,
                    2,
                    2,
                    3,
                    3,
                    4,
                    1
                ],
                "stackwise_input_filters": [
                    32,
                    16,
                    24,
                    40,
                    80,
                    112,
                    192
                ],
                "stackwise_output_filters": [
                    16,
                    24,
                    40,
                    80,
                    112,
                    192,
                    320
                ],
                "stackwise_expansion_ratios": [
                    1,
                    6,
                    6,
                    6,
                    6,
                    6,
                    6
                ],
                "stackwise_squeeze_and_excite_ratios": [
                    0.25,
                    0.25,
                    0.25,
                    0.25,
                    0.25,
                    0.25,
                    0.25
                ],
                "stackwise_strides": [
                    1,
                    2,
                    2,
                    2,
                    1,
                    2,
                    1
                ],
                "stackwise_block_types": [
                    "v1",
                    "v1",
                    "v1",
                    "v1",
                    "v1",
                    "v1",
                    "v1"
                ],
                "include_stem_padding": true,
                "use_depth_divisor_as_min_depth": true,
                "cap_round_filter_decrease": true,
                "stem_conv_padding": "valid",
                "batch_norm_momentum": 0.9,
                "batch_norm_epsilon": 1e-05
            },
            "registered_name": "keras_hub>EfficientNetBackbone"
        },
        "preprocessor": {
            "module": "keras_hub.src.models.efficientnet.efficientnet_image_classifier_preprocessor",
            "class_name": "EfficientNetImageClassifierPreprocessor",
            "config": {
                "name": "efficient_net_image_classifier_preprocessor",
                "trainable": true,
                "dtype": {
                    "module": "keras",
                    "class_name": "DTypePolicy",
                    "config": {
                        "name": "float32"
                    },
                    "registered_name": null
                },
                "image_converter": {
                    "module": "keras_hub.src.models.efficientnet.efficientnet_image_converter",
                    "class_name": "EfficientNetImageConverter",
                    "config": {
                        "name": "efficient_net_image_converter",
                        "trainable": true,
                        "dtype": {
                            "module": "keras",
                            "class_name": "DTypePolicy",
                            "config": {
                                "name": "float32"
                            },
                            "registered_name": null
                        },
                        "image_size": [
                            224,
                            224
                        ],
                        "scale": [
                            0.017124753831663668,
                            0.01750700280112045,
                            0.017429193899782133
                        ],
                        "offset": [
                            -2.1179039301310043,
                            -2.0357142857142856,
                            -1.8044444444444445
                        ],
                        "interpolation": "bicubic",
                        "crop_to_aspect_ratio": true
                    },
                    "registered_name": "keras_hub>EfficientNetImageConverter"
                },
                "config_file": "preprocessor.json"
            },
            "registered_name": "keras_hub>EfficientNetImageClassifierPreprocessor"
        },
        "name": "efficient_net_image_classifier",
        "num_classes": 1000,
        "pooling": "avg",
        "activation": null,
        "dropout": 0.0
    },
    "registered_name": "keras_hub>EfficientNetImageClassifier"
}