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tensorflow.keras.src.engine.functional.Functional.7b211ae2

tensorflow.keras.src.engine.functional.Functional.7b211ae2

Visibility: public Uploaded 13-04-2024 by Hidden tensorflow==2.15.0 numpy>=1.6.1 scipy>=0.9 1 runs
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  • openml-python python tensorflow tensorflow_2.15.0
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Automatically created tensorflow flow.

Parameters

backenddefault: "tensorflow"
class_namedefault: "Functional"
configdefault: {"input_layers": [["input_5", 0, 0]], "name": "EfficientNetB4", "output_layers": [["pred", 0, 0]], "trainable": true}
layer000_input_5default: {"class_name": "InputLayer", "config": {"batch_input_shape": [null, 380, 380, 3], "dtype": "float32", "name": "input_5", "ragged": false, "sparse": false}, "inbound_nodes": [], "module": "keras.layers", "name": "input_5", "registered_name": null}
layer001_rescaling_8default: {"build_config": {"input_shape": [null, 380, 380, 3]}, "class_name": "Rescaling", "config": {"dtype": "float32", "name": "rescaling_8", "offset": 0.0, "scale": 0.00392156862745098, "trainable": false}, "inbound_nodes": [[["input_5", 0, 0, {}]]], "module": "keras.layers", "name": "rescaling_8", "registered_name": null}
layer002_normalization_4default: {"build_config": {"input_shape": [null, 380, 380, 3]}, "class_name": "Normalization", "config": {"axis": [3], "dtype": "float32", "invert": false, "mean": null, "name": "normalization_4", "trainable": false, "variance": null}, "inbound_nodes": [[["rescaling_8", 0, 0, {}]]], "module": "keras.layers", "name": "normalization_4", "registered_name": null}
layer003_rescaling_9default: {"build_config": {"input_shape": [null, 380, 380, 3]}, "class_name": "Rescaling", "config": {"dtype": "float32", "name": "rescaling_9", "offset": 0.0, "scale": [2.0896918976428642, 2.1128856368212916, 2.1081851067789197], "trainable": false}, "inbound_nodes": [[["normalization_4", 0, 0, {}]]], "module": "keras.layers", "name": "rescaling_9", "registered_name": null}
layer004_stem_conv_paddefault: {"build_config": {"input_shape": [null, 380, 380, 3]}, "class_name": "ZeroPadding2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "stem_conv_pad", "padding": [[0, 1], [0, 1]], "trainable": false}, "inbound_nodes": [[["rescaling_9", 0, 0, {}]]], "module": "keras.layers", "name": "stem_conv_pad", "registered_name": null}
layer005_stem_convdefault: {"build_config": {"input_shape": [null, 381, 381, 3]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["stem_conv_pad", 0, 0, {}]]], "module": "keras.layers", "name": "stem_conv", "registered_name": null}
layer006_stem_bndefault: {"build_config": {"input_shape": [null, 190, 190, 48]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["stem_conv", 0, 0, {}]]], "module": "keras.layers", "name": "stem_bn", "registered_name": null}
layer007_stem_activationdefault: {"build_config": {"input_shape": [null, 190, 190, 48]}, "class_name": "Activation", "config": {"activation": "swish", "dtype": "float32", "name": "stem_activation", "trainable": false}, "inbound_nodes": [[["stem_bn", 0, 0, {}]]], "module": "keras.layers", "name": "stem_activation", "registered_name": null}
layer008_block1a_dwconvdefault: {"build_config": {"input_shape": [null, 190, 190, 48]}, "class_name": "DepthwiseConv2D", "config": "linear", "inbound_nodes": [[["stem_activation", 0, 0, {}]]], "module": "keras.layers", "name": "block1a_dwconv", "registered_name": null}
layer009_block1a_bndefault: {"build_config": {"input_shape": [null, 190, 190, 48]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["block1a_dwconv", 0, 0, {}]]], "module": "keras.layers", "name": "block1a_bn", "registered_name": null}
layer010_block1a_activationdefault: {"build_config": {"input_shape": [null, 190, 190, 48]}, "class_name": "Activation", "config": {"activation": "swish", "dtype": "float32", "name": "block1a_activation", "trainable": false}, "inbound_nodes": [[["block1a_bn", 0, 0, {}]]], "module": "keras.layers", "name": "block1a_activation", "registered_name": null}
layer011_block1a_se_squeezedefault: {"build_config": {"input_shape": [null, 190, 190, 48]}, "class_name": "GlobalAveragePooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "keepdims": false, "name": "block1a_se_squeeze", "trainable": false}, "inbound_nodes": [[["block1a_activation", 0, 0, {}]]], "module": "keras.layers", "name": "block1a_se_squeeze", "registered_name": null}
layer012_block1a_se_reshapedefault: {"build_config": {"input_shape": [null, 48]}, "class_name": "Reshape", "config": {"dtype": "float32", "name": "block1a_se_reshape", "target_shape": [1, 1, 48], "trainable": false}, "inbound_nodes": [[["block1a_se_squeeze", 0, 0, {}]]], "module": "keras.layers", "name": "block1a_se_reshape", "registered_name": null}
layer013_block1a_se_reducedefault: {"build_config": {"input_shape": [null, 1, 1, 48]}, "class_name": "Conv2D", "config": "swish", "inbound_nodes": [[["block1a_se_reshape", 0, 0, {}]]], "module": "keras.layers", "name": "block1a_se_reduce", "registered_name": null}
layer014_block1a_se_expanddefault: {"build_config": {"input_shape": [null, 1, 1, 12]}, "class_name": "Conv2D", "config": "sigmoid", "inbound_nodes": [[["block1a_se_reduce", 0, 0, {}]]], "module": "keras.layers", "name": "block1a_se_expand", "registered_name": null}
layer015_block1a_se_excitedefault: {"build_config": {"input_shape": [[null, 190, 190, 48], [null, 1, 1, 48]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "block1a_se_excite", "trainable": false}, "inbound_nodes": [[["block1a_activation", 0, 0, {}], ["block1a_se_expand", 0, 0, {}]]], "module": "keras.layers", "name": "block1a_se_excite", "registered_name": null}
layer016_block1a_project_convdefault: {"build_config": {"input_shape": [null, 190, 190, 48]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["block1a_se_excite", 0, 0, {}]]], "module": "keras.layers", "name": "block1a_project_conv", "registered_name": null}
layer017_block1a_project_bndefault: {"build_config": {"input_shape": [null, 190, 190, 24]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["block1a_project_conv", 0, 0, {}]]], "module": "keras.layers", "name": "block1a_project_bn", "registered_name": null}
layer018_block1b_dwconvdefault: {"build_config": {"input_shape": [null, 190, 190, 24]}, "class_name": "DepthwiseConv2D", "config": "linear", "inbound_nodes": [[["block1a_project_bn", 0, 0, {}]]], "module": "keras.layers", "name": "block1b_dwconv", "registered_name": null}
layer019_block1b_bndefault: {"build_config": {"input_shape": [null, 190, 190, 24]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["block1b_dwconv", 0, 0, {}]]], "module": "keras.layers", "name": "block1b_bn", "registered_name": null}
layer020_block1b_activationdefault: {"build_config": {"input_shape": [null, 190, 190, 24]}, "class_name": "Activation", "config": {"activation": "swish", "dtype": "float32", "name": "block1b_activation", "trainable": false}, "inbound_nodes": [[["block1b_bn", 0, 0, {}]]], "module": "keras.layers", "name": "block1b_activation", "registered_name": null}
layer021_block1b_se_squeezedefault: {"build_config": {"input_shape": [null, 190, 190, 24]}, "class_name": "GlobalAveragePooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "keepdims": false, "name": "block1b_se_squeeze", "trainable": false}, "inbound_nodes": [[["block1b_activation", 0, 0, {}]]], "module": "keras.layers", "name": "block1b_se_squeeze", "registered_name": null}
layer022_block1b_se_reshapedefault: {"build_config": {"input_shape": [null, 24]}, "class_name": "Reshape", "config": {"dtype": "float32", "name": "block1b_se_reshape", "target_shape": [1, 1, 24], "trainable": false}, "inbound_nodes": [[["block1b_se_squeeze", 0, 0, {}]]], "module": "keras.layers", "name": "block1b_se_reshape", "registered_name": null}
layer023_block1b_se_reducedefault: {"build_config": {"input_shape": [null, 1, 1, 24]}, "class_name": "Conv2D", "config": "swish", "inbound_nodes": [[["block1b_se_reshape", 0, 0, {}]]], "module": "keras.layers", "name": "block1b_se_reduce", "registered_name": null}
layer024_block1b_se_expanddefault: {"build_config": {"input_shape": [null, 1, 1, 6]}, "class_name": "Conv2D", "config": "sigmoid", "inbound_nodes": [[["block1b_se_reduce", 0, 0, {}]]], "module": "keras.layers", "name": "block1b_se_expand", "registered_name": null}
layer025_block1b_se_excitedefault: {"build_config": {"input_shape": [[null, 190, 190, 24], [null, 1, 1, 24]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "block1b_se_excite", "trainable": false}, "inbound_nodes": [[["block1b_activation", 0, 0, {}], ["block1b_se_expand", 0, 0, {}]]], "module": "keras.layers", "name": "block1b_se_excite", "registered_name": null}
layer026_block1b_project_convdefault: {"build_config": {"input_shape": [null, 190, 190, 24]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["block1b_se_excite", 0, 0, {}]]], "module": "keras.layers", "name": "block1b_project_conv", "registered_name": null}
layer027_block1b_project_bndefault: {"build_config": {"input_shape": [null, 190, 190, 24]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["block1b_project_conv", 0, 0, {}]]], "module": "keras.layers", "name": "block1b_project_bn", "registered_name": null}
layer028_block1b_dropdefault: {"build_config": {"input_shape": [null, 190, 190, 24]}, "class_name": "Dropout", "config": {"dtype": "float32", "name": "block1b_drop", "noise_shape": [null, 1, 1, 1], "rate": 0.00625, "seed": null, "trainable": false}, "inbound_nodes": [[["block1b_project_bn", 0, 0, {}]]], "module": "keras.layers", "name": "block1b_drop", "registered_name": null}
layer029_block1b_adddefault: {"build_config": {"input_shape": [[null, 190, 190, 24], [null, 190, 190, 24]]}, "class_name": "Add", "config": {"dtype": "float32", "name": "block1b_add", "trainable": false}, "inbound_nodes": [[["block1b_drop", 0, 0, {}], ["block1a_project_bn", 0, 0, {}]]], "module": "keras.layers", "name": "block1b_add", "registered_name": null}
layer030_block2a_expand_convdefault: {"build_config": {"input_shape": [null, 190, 190, 24]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["block1b_add", 0, 0, {}]]], "module": "keras.layers", "name": "block2a_expand_conv", "registered_name": null}
layer031_block2a_expand_bndefault: {"build_config": {"input_shape": [null, 190, 190, 144]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["block2a_expand_conv", 0, 0, {}]]], "module": "keras.layers", "name": "block2a_expand_bn", "registered_name": null}
layer032_block2a_expand_activationdefault: {"build_config": {"input_shape": [null, 190, 190, 144]}, "class_name": "Activation", "config": {"activation": "swish", "dtype": "float32", "name": "block2a_expand_activation", "trainable": false}, "inbound_nodes": [[["block2a_expand_bn", 0, 0, {}]]], "module": "keras.layers", "name": "block2a_expand_activation", "registered_name": null}
layer033_block2a_dwconv_paddefault: {"build_config": {"input_shape": [null, 190, 190, 144]}, "class_name": "ZeroPadding2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "block2a_dwconv_pad", "padding": [[0, 1], [0, 1]], "trainable": false}, "inbound_nodes": [[["block2a_expand_activation", 0, 0, {}]]], "module": "keras.layers", "name": "block2a_dwconv_pad", "registered_name": null}
layer034_block2a_dwconvdefault: {"build_config": {"input_shape": [null, 191, 191, 144]}, "class_name": "DepthwiseConv2D", "config": "linear", "inbound_nodes": [[["block2a_dwconv_pad", 0, 0, {}]]], "module": "keras.layers", "name": "block2a_dwconv", "registered_name": null}
layer035_block2a_bndefault: {"build_config": {"input_shape": [null, 95, 95, 144]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["block2a_dwconv", 0, 0, {}]]], "module": "keras.layers", "name": "block2a_bn", "registered_name": null}
layer036_block2a_activationdefault: {"build_config": {"input_shape": [null, 95, 95, 144]}, "class_name": "Activation", "config": {"activation": "swish", "dtype": "float32", "name": "block2a_activation", "trainable": false}, "inbound_nodes": [[["block2a_bn", 0, 0, {}]]], "module": "keras.layers", "name": "block2a_activation", "registered_name": null}
layer037_block2a_se_squeezedefault: {"build_config": {"input_shape": [null, 95, 95, 144]}, "class_name": "GlobalAveragePooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "keepdims": false, "name": "block2a_se_squeeze", "trainable": false}, "inbound_nodes": [[["block2a_activation", 0, 0, {}]]], "module": "keras.layers", "name": "block2a_se_squeeze", "registered_name": null}
layer038_block2a_se_reshapedefault: {"build_config": {"input_shape": [null, 144]}, "class_name": "Reshape", "config": {"dtype": "float32", "name": "block2a_se_reshape", "target_shape": [1, 1, 144], "trainable": false}, "inbound_nodes": [[["block2a_se_squeeze", 0, 0, {}]]], "module": "keras.layers", "name": "block2a_se_reshape", "registered_name": null}
layer039_block2a_se_reducedefault: {"build_config": {"input_shape": [null, 1, 1, 144]}, "class_name": "Conv2D", "config": "swish", "inbound_nodes": [[["block2a_se_reshape", 0, 0, {}]]], "module": "keras.layers", "name": "block2a_se_reduce", "registered_name": null}
layer040_block2a_se_expanddefault: {"build_config": {"input_shape": [null, 1, 1, 6]}, "class_name": "Conv2D", "config": "sigmoid", "inbound_nodes": [[["block2a_se_reduce", 0, 0, {}]]], "module": "keras.layers", "name": "block2a_se_expand", "registered_name": null}
layer041_block2a_se_excitedefault: {"build_config": {"input_shape": [[null, 95, 95, 144], [null, 1, 1, 144]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "block2a_se_excite", "trainable": false}, "inbound_nodes": [[["block2a_activation", 0, 0, {}], ["block2a_se_expand", 0, 0, {}]]], "module": "keras.layers", "name": "block2a_se_excite", "registered_name": null}
layer042_block2a_project_convdefault: {"build_config": {"input_shape": [null, 95, 95, 144]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["block2a_se_excite", 0, 0, {}]]], "module": "keras.layers", "name": "block2a_project_conv", "registered_name": null}
layer043_block2a_project_bndefault: {"build_config": {"input_shape": [null, 95, 95, 32]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["block2a_project_conv", 0, 0, {}]]], "module": "keras.layers", "name": "block2a_project_bn", "registered_name": null}
layer044_block2b_expand_convdefault: {"build_config": {"input_shape": [null, 95, 95, 32]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["block2a_project_bn", 0, 0, {}]]], "module": "keras.layers", "name": "block2b_expand_conv", "registered_name": null}
layer045_block2b_expand_bndefault: {"build_config": {"input_shape": [null, 95, 95, 192]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["block2b_expand_conv", 0, 0, {}]]], "module": "keras.layers", "name": "block2b_expand_bn", "registered_name": null}
layer046_block2b_expand_activationdefault: {"build_config": {"input_shape": [null, 95, 95, 192]}, "class_name": "Activation", "config": {"activation": "swish", "dtype": "float32", "name": "block2b_expand_activation", "trainable": false}, "inbound_nodes": [[["block2b_expand_bn", 0, 0, {}]]], "module": "keras.layers", "name": "block2b_expand_activation", "registered_name": null}
layer047_block2b_dwconvdefault: {"build_config": {"input_shape": [null, 95, 95, 192]}, "class_name": "DepthwiseConv2D", "config": "linear", "inbound_nodes": [[["block2b_expand_activation", 0, 0, {}]]], "module": "keras.layers", "name": "block2b_dwconv", "registered_name": null}
layer048_block2b_bndefault: {"build_config": {"input_shape": [null, 95, 95, 192]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["block2b_dwconv", 0, 0, {}]]], "module": "keras.layers", "name": "block2b_bn", "registered_name": null}
layer049_block2b_activationdefault: {"build_config": {"input_shape": [null, 95, 95, 192]}, "class_name": "Activation", "config": {"activation": "swish", "dtype": "float32", "name": "block2b_activation", "trainable": false}, "inbound_nodes": [[["block2b_bn", 0, 0, {}]]], "module": "keras.layers", "name": "block2b_activation", "registered_name": null}
layer050_block2b_se_squeezedefault: {"build_config": {"input_shape": [null, 95, 95, 192]}, "class_name": "GlobalAveragePooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "keepdims": false, "name": "block2b_se_squeeze", "trainable": false}, "inbound_nodes": [[["block2b_activation", 0, 0, {}]]], "module": "keras.layers", "name": "block2b_se_squeeze", "registered_name": null}
layer051_block2b_se_reshapedefault: {"build_config": {"input_shape": [null, 192]}, "class_name": "Reshape", "config": {"dtype": "float32", "name": "block2b_se_reshape", "target_shape": [1, 1, 192], "trainable": false}, "inbound_nodes": [[["block2b_se_squeeze", 0, 0, {}]]], "module": "keras.layers", "name": "block2b_se_reshape", "registered_name": null}
layer052_block2b_se_reducedefault: {"build_config": {"input_shape": [null, 1, 1, 192]}, "class_name": "Conv2D", "config": "swish", "inbound_nodes": [[["block2b_se_reshape", 0, 0, {}]]], "module": "keras.layers", "name": "block2b_se_reduce", "registered_name": null}
layer053_block2b_se_expanddefault: {"build_config": {"input_shape": [null, 1, 1, 8]}, "class_name": "Conv2D", "config": "sigmoid", "inbound_nodes": [[["block2b_se_reduce", 0, 0, {}]]], "module": "keras.layers", "name": "block2b_se_expand", "registered_name": null}
layer054_block2b_se_excitedefault: {"build_config": {"input_shape": [[null, 95, 95, 192], [null, 1, 1, 192]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "block2b_se_excite", "trainable": false}, "inbound_nodes": [[["block2b_activation", 0, 0, {}], ["block2b_se_expand", 0, 0, {}]]], "module": "keras.layers", "name": "block2b_se_excite", "registered_name": null}
layer055_block2b_project_convdefault: {"build_config": {"input_shape": [null, 95, 95, 192]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["block2b_se_excite", 0, 0, {}]]], "module": "keras.layers", "name": "block2b_project_conv", "registered_name": null}
layer056_block2b_project_bndefault: {"build_config": {"input_shape": [null, 95, 95, 32]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["block2b_project_conv", 0, 0, {}]]], "module": "keras.layers", "name": "block2b_project_bn", "registered_name": null}
layer057_block2b_dropdefault: {"build_config": {"input_shape": [null, 95, 95, 32]}, "class_name": "Dropout", "config": {"dtype": "float32", "name": "block2b_drop", "noise_shape": [null, 1, 1, 1], "rate": 0.018750000000000003, "seed": null, "trainable": false}, "inbound_nodes": [[["block2b_project_bn", 0, 0, {}]]], "module": "keras.layers", "name": "block2b_drop", "registered_name": null}
layer058_block2b_adddefault: {"build_config": {"input_shape": [[null, 95, 95, 32], [null, 95, 95, 32]]}, "class_name": "Add", "config": {"dtype": "float32", "name": "block2b_add", "trainable": false}, "inbound_nodes": [[["block2b_drop", 0, 0, {}], ["block2a_project_bn", 0, 0, {}]]], "module": "keras.layers", "name": "block2b_add", "registered_name": null}
layer059_block2c_expand_convdefault: {"build_config": {"input_shape": [null, 95, 95, 32]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["block2b_add", 0, 0, {}]]], "module": "keras.layers", "name": "block2c_expand_conv", "registered_name": null}
layer060_block2c_expand_bndefault: {"build_config": {"input_shape": [null, 95, 95, 192]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["block2c_expand_conv", 0, 0, {}]]], "module": "keras.layers", "name": "block2c_expand_bn", "registered_name": null}
layer061_block2c_expand_activationdefault: {"build_config": {"input_shape": [null, 95, 95, 192]}, "class_name": "Activation", "config": {"activation": "swish", "dtype": "float32", "name": "block2c_expand_activation", "trainable": false}, "inbound_nodes": [[["block2c_expand_bn", 0, 0, {}]]], "module": "keras.layers", "name": "block2c_expand_activation", "registered_name": null}
layer062_block2c_dwconvdefault: {"build_config": {"input_shape": [null, 95, 95, 192]}, "class_name": "DepthwiseConv2D", "config": "linear", "inbound_nodes": [[["block2c_expand_activation", 0, 0, {}]]], "module": "keras.layers", "name": "block2c_dwconv", "registered_name": null}
layer063_block2c_bndefault: {"build_config": {"input_shape": [null, 95, 95, 192]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["block2c_dwconv", 0, 0, {}]]], "module": "keras.layers", "name": "block2c_bn", "registered_name": null}
layer064_block2c_activationdefault: {"build_config": {"input_shape": [null, 95, 95, 192]}, "class_name": "Activation", "config": {"activation": "swish", "dtype": "float32", "name": "block2c_activation", "trainable": false}, "inbound_nodes": [[["block2c_bn", 0, 0, {}]]], "module": "keras.layers", "name": "block2c_activation", "registered_name": null}
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layer464_block7b_se_reshapedefault: {"build_config": {"input_shape": [null, 2688]}, "class_name": "Reshape", "config": {"dtype": "float32", "name": "block7b_se_reshape", "target_shape": [1, 1, 2688], "trainable": true}, "inbound_nodes": [[["block7b_se_squeeze", 0, 0, {}]]], "module": "keras.layers", "name": "block7b_se_reshape", "registered_name": null}
layer465_block7b_se_reducedefault: {"build_config": {"input_shape": [null, 1, 1, 2688]}, "class_name": "Conv2D", "config": "swish", "inbound_nodes": [[["block7b_se_reshape", 0, 0, {}]]], "module": "keras.layers", "name": "block7b_se_reduce", "registered_name": null}
layer466_block7b_se_expanddefault: {"build_config": {"input_shape": [null, 1, 1, 112]}, "class_name": "Conv2D", "config": "sigmoid", "inbound_nodes": [[["block7b_se_reduce", 0, 0, {}]]], "module": "keras.layers", "name": "block7b_se_expand", "registered_name": null}
layer467_block7b_se_excitedefault: {"build_config": {"input_shape": [[null, 12, 12, 2688], [null, 1, 1, 2688]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "block7b_se_excite", "trainable": true}, "inbound_nodes": [[["block7b_activation", 0, 0, {}], ["block7b_se_expand", 0, 0, {}]]], "module": "keras.layers", "name": "block7b_se_excite", "registered_name": null}
layer468_block7b_project_convdefault: {"build_config": {"input_shape": [null, 12, 12, 2688]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["block7b_se_excite", 0, 0, {}]]], "module": "keras.layers", "name": "block7b_project_conv", "registered_name": null}
layer469_block7b_project_bndefault: {"build_config": {"input_shape": [null, 12, 12, 448]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["block7b_project_conv", 0, 0, {}]]], "module": "keras.layers", "name": "block7b_project_bn", "registered_name": null}
layer470_block7b_dropdefault: {"build_config": {"input_shape": [null, 12, 12, 448]}, "class_name": "Dropout", "config": {"dtype": "float32", "name": "block7b_drop", "noise_shape": [null, 1, 1, 1], "rate": 0.19375, "seed": null, "trainable": true}, "inbound_nodes": [[["block7b_project_bn", 0, 0, {}]]], "module": "keras.layers", "name": "block7b_drop", "registered_name": null}
layer471_block7b_adddefault: {"build_config": {"input_shape": [[null, 12, 12, 448], [null, 12, 12, 448]]}, "class_name": "Add", "config": {"dtype": "float32", "name": "block7b_add", "trainable": true}, "inbound_nodes": [[["block7b_drop", 0, 0, {}], ["block7a_project_bn", 0, 0, {}]]], "module": "keras.layers", "name": "block7b_add", "registered_name": null}
layer472_top_convdefault: {"build_config": {"input_shape": [null, 12, 12, 448]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["block7b_add", 0, 0, {}]]], "module": "keras.layers", "name": "top_conv", "registered_name": null}
layer473_top_bndefault: {"build_config": {"input_shape": [null, 12, 12, 1792]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["top_conv", 0, 0, {}]]], "module": "keras.layers", "name": "top_bn", "registered_name": null}
layer474_top_activationdefault: {"build_config": {"input_shape": [null, 12, 12, 1792]}, "class_name": "Activation", "config": {"activation": "swish", "dtype": "float32", "name": "top_activation", "trainable": true}, "inbound_nodes": [[["top_bn", 0, 0, {}]]], "module": "keras.layers", "name": "top_activation", "registered_name": null}
layer475_global_average_pooling2d_3default: {"build_config": {"input_shape": [null, 12, 12, 1792]}, "class_name": "GlobalAveragePooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "keepdims": false, "name": "global_average_pooling2d_3", "trainable": true}, "inbound_nodes": [[["top_activation", 0, 0, {}]]], "module": "keras.layers", "name": "global_average_pooling2d_3", "registered_name": null}
layer476_batch_normalization_3default: {"build_config": {"input_shape": [null, 1792]}, "class_name": "BatchNormalization", "config": [1], "inbound_nodes": [[["global_average_pooling2d_3", 0, 0, {}]]], "module": "keras.layers", "name": "batch_normalization_3", "registered_name": null}
layer477_top_dropoutdefault: {"build_config": {"input_shape": [null, 1792]}, "class_name": "Dropout", "config": {"dtype": "float32", "name": "top_dropout", "noise_shape": null, "rate": 0.15, "seed": null, "trainable": true}, "inbound_nodes": [[["batch_normalization_3", 0, 0, {}]]], "module": "keras.layers", "name": "top_dropout", "registered_name": null}
layer478_preddefault: {"build_config": {"input_shape": [null, 1792]}, "class_name": "Dense", "config": {"activation": "softmax", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}, "module": "keras.initializers", "registered_name": null}, "bias_regularizer": null, "dtype": "float32", "kernel_constraint": null, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "module": "keras.initializers", "registered_name": null}, "kernel_regularizer": null, "name": "pred", "trainable": true, "units": 67, "use_bias": true}, "inbound_nodes": [[["top_dropout", 0, 0, {}]]], "module": "keras.layers", "name": "pred", "registered_name": null}
optimizerdefault: {"loss": "categorical_crossentropy", "metrics": [], "optimizer_config": {"class_name": "Adam", "config": {"amsgrad": false, "beta_1": 0.9, "beta_2": 0.999, "clipnorm": null, "clipvalue": null, "ema_momentum": 0.99, "ema_overwrite_frequency": null, "epsilon": 1e-07, "global_clipnorm": null, "is_legacy_optimizer": false, "jit_compile": false, "learning_rate": 9.999999747378752e-05, "name": "Adam", "use_ema": false, "weight_decay": null}}}
tensorflow_versiondefault: "2.15.0"

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