{ "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" }