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{
"module": "keras_hub.src.models.efficientnet.efficientnet_backbone",
"class_name": "EfficientNetBackbone",
"config": {
"name": "efficient_net_backbone",
"trainable": true,
"width_coefficient": 1.0,
"depth_coefficient": 1.1,
"dropout": 0,
"depth_divisor": 8,
"min_depth": null,
"activation": "relu",
"input_shape": [
null,
null,
3
],
"stackwise_kernel_sizes": [
3,
3,
3,
5,
5,
5
],
"stackwise_num_repeats": [
1,
2,
4,
5,
4,
2
],
"stackwise_input_filters": [
32,
24,
32,
48,
96,
144
],
"stackwise_output_filters": [
24,
32,
48,
96,
144,
192
],
"stackwise_expansion_ratios": [
4,
8,
8,
8,
8,
8
],
"stackwise_squeeze_and_excite_ratios": [
0,
0,
0,
0,
0,
0
],
"stackwise_strides": [
1,
2,
2,
2,
1,
2
],
"stackwise_block_types": [
"fused",
"fused",
"fused",
"unfused",
"unfused",
"unfused"
],
"stackwise_force_input_filters": [
[
24,
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"
}