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efficientnet2_rw_s_ra2_imagenet
File size: 2,358 Bytes 
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{
    "module": "keras_hub.src.models.efficientnet.efficientnet_backbone",
    "class_name": "EfficientNetBackbone",
    "config": {
        "name": "efficient_net_backbone",
        "trainable": true,
        "stackwise_width_coefficients": [
            1.0,
            1.0,
            1.0,
            1.0,
            1.0,
            1.0
        ],
        "stackwise_depth_coefficients": [
            1.0,
            1.0,
            1.0,
            1.0,
            1.0,
            1.0
        ],
        "dropout": 0,
        "depth_divisor": 8,
        "min_depth": null,
        "activation": "silu",
        "input_shape": [
            null,
            null,
            3
        ],
        "stackwise_kernel_sizes": [
            3,
            3,
            3,
            3,
            3,
            3
        ],
        "stackwise_num_repeats": [
            2,
            4,
            4,
            6,
            9,
            15
        ],
        "stackwise_input_filters": [
            24,
            24,
            48,
            64,
            128,
            160
        ],
        "stackwise_output_filters": [
            24,
            48,
            64,
            128,
            160,
            272
        ],
        "stackwise_expansion_ratios": [
            1,
            4,
            4,
            4,
            6,
            6
        ],
        "stackwise_squeeze_and_excite_ratios": [
            0,
            0,
            0,
            0.25,
            0.25,
            0.25
        ],
        "stackwise_strides": [
            1,
            2,
            2,
            2,
            1,
            2
        ],
        "stackwise_block_types": [
            "fused",
            "fused",
            "fused",
            "unfused",
            "unfused",
            "unfused"
        ],
        "stackwise_force_input_filters": [
            0,
            0,
            0,
            0,
            0,
            0
        ],
        "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,
        "projection_activation": null
    },
    "registered_name": "keras_hub>EfficientNetBackbone"
}