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resnet_vd_50_ssld_imagenet

Image Classification
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resnet_vd_50_ssld_imagenet
File size: 3,784 Bytes 
ab3238b
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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{
    "module": "keras_hub.src.models.resnet.resnet_image_classifier",
    "class_name": "ResNetImageClassifier",
    "config": {
        "backbone": {
            "module": "keras_hub.src.models.resnet.resnet_backbone",
            "class_name": "ResNetBackbone",
            "config": {
                "name": "res_net_backbone_13",
                "trainable": true,
                "input_conv_filters": [
                    32,
                    32,
                    64
                ],
                "input_conv_kernel_sizes": [
                    3,
                    3,
                    3
                ],
                "stackwise_num_filters": [
                    64,
                    128,
                    256,
                    512
                ],
                "stackwise_num_blocks": [
                    3,
                    4,
                    6,
                    3
                ],
                "stackwise_num_strides": [
                    1,
                    2,
                    2,
                    2
                ],
                "block_type": "bottleneck_block_vd",
                "use_pre_activation": false,
                "image_shape": [
                    null,
                    null,
                    3
                ]
            },
            "registered_name": "keras_hub>ResNetBackbone"
        },
        "preprocessor": {
            "module": "keras_hub.src.models.resnet.resnet_image_classifier_preprocessor",
            "class_name": "ResNetImageClassifierPreprocessor",
            "config": {
                "name": "res_net_image_classifier_preprocessor_13",
                "trainable": true,
                "dtype": {
                    "module": "keras",
                    "class_name": "DTypePolicy",
                    "config": {
                        "name": "float32"
                    },
                    "registered_name": null
                },
                "image_converter": {
                    "module": "keras_hub.src.models.resnet.resnet_image_converter",
                    "class_name": "ResNetImageConverter",
                    "config": {
                        "name": "res_net_image_converter_13",
                        "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": "bilinear",
                        "crop_to_aspect_ratio": true
                    },
                    "registered_name": "keras_hub>ResNetImageConverter"
                },
                "config_file": "preprocessor.json"
            },
            "registered_name": "keras_hub>ResNetImageClassifierPreprocessor"
        },
        "name": "res_net_image_classifier_13",
        "num_classes": 1000,
        "pooling": "avg",
        "activation": null,
        "dropout": 0.0
    },
    "registered_name": "keras_hub>ResNetImageClassifier"
}