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tensorflow.keras.src.engine.functional.Functional.30b5bf59

tensorflow.keras.src.engine.functional.Functional.30b5bf59

Visibility: public Uploaded 15-04-2024 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": "model_3", "output_layers": [["dense_16", 0, 0]], "trainable": true}
layer000_input_5default: {"class_name": "InputLayer", "config": {"batch_input_shape": [null, 224, 224, 3], "dtype": "float32", "name": "input_5", "ragged": false, "sparse": false}, "inbound_nodes": [], "module": "keras.layers", "name": "input_5", "registered_name": null}
layer001_rescaling_3default: {"build_config": {"input_shape": [null, 224, 224, 3]}, "class_name": "Rescaling", "config": {"dtype": "float32", "name": "rescaling_3", "offset": -1.0, "scale": 0.00784313725490196, "trainable": false}, "inbound_nodes": [[["input_5", 0, 0, {}]]], "module": "keras.layers", "name": "rescaling_3", "registered_name": null}
layer002_Convdefault: {"build_config": {"input_shape": [null, 224, 224, 3]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["rescaling_3", 0, 0, {}]]], "module": "keras.layers", "name": "Conv", "registered_name": null}
layer003_Conv_BatchNormdefault: {"build_config": {"input_shape": [null, 112, 112, 16]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["Conv", 0, 0, {}]]], "module": "keras.layers", "name": "Conv/BatchNorm", "registered_name": null}
layer004_tf.__operators__.add_84default: {"build_config": {"input_shape": [null, 112, 112, 16]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_84", "trainable": false}, "inbound_nodes": [["Conv/BatchNorm", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_84", "registered_name": "TFOpLambda"}
layer005_re_lu_117default: {"build_config": {"input_shape": [null, 112, 112, 16]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_117", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_84", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_117", "registered_name": null}
layer006_tf.math.multiply_84default: {"build_config": {"input_shape": [null, 112, 112, 16]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_84", "trainable": false}, "inbound_nodes": [["re_lu_117", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_84", "registered_name": "TFOpLambda"}
layer007_multiply_60default: {"build_config": {"input_shape": [[null, 112, 112, 16], [null, 112, 112, 16]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "multiply_60", "trainable": false}, "inbound_nodes": [[["Conv/BatchNorm", 0, 0, {}], ["tf.math.multiply_84", 0, 0, {}]]], "module": "keras.layers", "name": "multiply_60", "registered_name": null}
layer008_expanded_conv_depthwisedefault: {"build_config": {"input_shape": [null, 112, 112, 16]}, "class_name": "DepthwiseConv2D", "config": "linear", "inbound_nodes": [[["multiply_60", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv/depthwise", "registered_name": null}
layer009_expanded_conv_depthwise_BatchNormdefault: {"build_config": {"input_shape": [null, 112, 112, 16]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv/depthwise", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv/depthwise/BatchNorm", "registered_name": null}
layer010_re_lu_118default: {"build_config": {"input_shape": [null, 112, 112, 16]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": null, "name": "re_lu_118", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["expanded_conv/depthwise/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_118", "registered_name": null}
layer011_expanded_conv_projectdefault: {"build_config": {"input_shape": [null, 112, 112, 16]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["re_lu_118", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv/project", "registered_name": null}
layer012_expanded_conv_project_BatchNormdefault: {"build_config": {"input_shape": [null, 112, 112, 16]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv/project", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv/project/BatchNorm", "registered_name": null}
layer013_expanded_conv_Adddefault: {"build_config": {"input_shape": [[null, 112, 112, 16], [null, 112, 112, 16]]}, "class_name": "Add", "config": {"dtype": "float32", "name": "expanded_conv/Add", "trainable": false}, "inbound_nodes": [[["multiply_60", 0, 0, {}], ["expanded_conv/project/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv/Add", "registered_name": null}
layer014_expanded_conv_1_expanddefault: {"build_config": {"input_shape": [null, 112, 112, 16]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv/Add", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_1/expand", "registered_name": null}
layer015_expanded_conv_1_expand_BatchNormdefault: {"build_config": {"input_shape": [null, 112, 112, 64]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_1/expand", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_1/expand/BatchNorm", "registered_name": null}
layer016_re_lu_119default: {"build_config": {"input_shape": [null, 112, 112, 64]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": null, "name": "re_lu_119", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["expanded_conv_1/expand/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_119", "registered_name": null}
layer017_expanded_conv_1_depthwise_paddefault: {"build_config": {"input_shape": [null, 112, 112, 64]}, "class_name": "ZeroPadding2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "expanded_conv_1/depthwise/pad", "padding": [[0, 1], [0, 1]], "trainable": false}, "inbound_nodes": [[["re_lu_119", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_1/depthwise/pad", "registered_name": null}
layer018_expanded_conv_1_depthwisedefault: {"build_config": {"input_shape": [null, 113, 113, 64]}, "class_name": "DepthwiseConv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_1/depthwise/pad", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_1/depthwise", "registered_name": null}
layer019_expanded_conv_1_depthwise_BatchNormdefault: {"build_config": {"input_shape": [null, 56, 56, 64]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_1/depthwise", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_1/depthwise/BatchNorm", "registered_name": null}
layer020_re_lu_120default: {"build_config": {"input_shape": [null, 56, 56, 64]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": null, "name": "re_lu_120", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["expanded_conv_1/depthwise/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_120", "registered_name": null}
layer021_expanded_conv_1_projectdefault: {"build_config": {"input_shape": [null, 56, 56, 64]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["re_lu_120", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_1/project", "registered_name": null}
layer022_expanded_conv_1_project_BatchNormdefault: {"build_config": {"input_shape": [null, 56, 56, 24]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_1/project", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_1/project/BatchNorm", "registered_name": null}
layer023_expanded_conv_2_expanddefault: {"build_config": {"input_shape": [null, 56, 56, 24]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_1/project/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_2/expand", "registered_name": null}
layer024_expanded_conv_2_expand_BatchNormdefault: {"build_config": {"input_shape": [null, 56, 56, 72]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_2/expand", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_2/expand/BatchNorm", "registered_name": null}
layer025_re_lu_121default: {"build_config": {"input_shape": [null, 56, 56, 72]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": null, "name": "re_lu_121", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["expanded_conv_2/expand/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_121", "registered_name": null}
layer026_expanded_conv_2_depthwisedefault: {"build_config": {"input_shape": [null, 56, 56, 72]}, "class_name": "DepthwiseConv2D", "config": "linear", "inbound_nodes": [[["re_lu_121", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_2/depthwise", "registered_name": null}
layer027_expanded_conv_2_depthwise_BatchNormdefault: {"build_config": {"input_shape": [null, 56, 56, 72]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_2/depthwise", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_2/depthwise/BatchNorm", "registered_name": null}
layer028_re_lu_122default: {"build_config": {"input_shape": [null, 56, 56, 72]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": null, "name": "re_lu_122", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["expanded_conv_2/depthwise/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_122", "registered_name": null}
layer029_expanded_conv_2_projectdefault: {"build_config": {"input_shape": [null, 56, 56, 72]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["re_lu_122", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_2/project", "registered_name": null}
layer030_expanded_conv_2_project_BatchNormdefault: {"build_config": {"input_shape": [null, 56, 56, 24]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_2/project", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_2/project/BatchNorm", "registered_name": null}
layer031_expanded_conv_2_Adddefault: {"build_config": {"input_shape": [[null, 56, 56, 24], [null, 56, 56, 24]]}, "class_name": "Add", "config": {"dtype": "float32", "name": "expanded_conv_2/Add", "trainable": false}, "inbound_nodes": [[["expanded_conv_1/project/BatchNorm", 0, 0, {}], ["expanded_conv_2/project/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_2/Add", "registered_name": null}
layer032_expanded_conv_3_expanddefault: {"build_config": {"input_shape": [null, 56, 56, 24]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_2/Add", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_3/expand", "registered_name": null}
layer033_expanded_conv_3_expand_BatchNormdefault: {"build_config": {"input_shape": [null, 56, 56, 72]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_3/expand", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_3/expand/BatchNorm", "registered_name": null}
layer034_re_lu_123default: {"build_config": {"input_shape": [null, 56, 56, 72]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": null, "name": "re_lu_123", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["expanded_conv_3/expand/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_123", "registered_name": null}
layer035_expanded_conv_3_depthwise_paddefault: {"build_config": {"input_shape": [null, 56, 56, 72]}, "class_name": "ZeroPadding2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "expanded_conv_3/depthwise/pad", "padding": [[1, 2], [1, 2]], "trainable": false}, "inbound_nodes": [[["re_lu_123", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_3/depthwise/pad", "registered_name": null}
layer036_expanded_conv_3_depthwisedefault: {"build_config": {"input_shape": [null, 59, 59, 72]}, "class_name": "DepthwiseConv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_3/depthwise/pad", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_3/depthwise", "registered_name": null}
layer037_expanded_conv_3_depthwise_BatchNormdefault: {"build_config": {"input_shape": [null, 28, 28, 72]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_3/depthwise", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_3/depthwise/BatchNorm", "registered_name": null}
layer038_re_lu_124default: {"build_config": {"input_shape": [null, 28, 28, 72]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": null, "name": "re_lu_124", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["expanded_conv_3/depthwise/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_124", "registered_name": null}
layer039_expanded_conv_3_squeeze_excite_AvgPooldefault: {"build_config": {"input_shape": [null, 28, 28, 72]}, "class_name": "GlobalAveragePooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "keepdims": true, "name": "expanded_conv_3/squeeze_excite/AvgPool", "trainable": false}, "inbound_nodes": [[["re_lu_124", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_3/squeeze_excite/AvgPool", "registered_name": null}
layer040_expanded_conv_3_squeeze_excite_Convdefault: {"build_config": {"input_shape": [null, 1, 1, 72]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_3/squeeze_excite/AvgPool", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_3/squeeze_excite/Conv", "registered_name": null}
layer041_expanded_conv_3_squeeze_excite_Reludefault: {"build_config": {"input_shape": [null, 1, 1, 24]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": null, "name": "expanded_conv_3/squeeze_excite/Relu", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["expanded_conv_3/squeeze_excite/Conv", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_3/squeeze_excite/Relu", "registered_name": null}
layer042_expanded_conv_3_squeeze_excite_Conv_1default: {"build_config": {"input_shape": [null, 1, 1, 24]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_3/squeeze_excite/Relu", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_3/squeeze_excite/Conv_1", "registered_name": null}
layer043_tf.__operators__.add_85default: {"build_config": {"input_shape": [null, 1, 1, 72]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_85", "trainable": false}, "inbound_nodes": [["expanded_conv_3/squeeze_excite/Conv_1", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_85", "registered_name": "TFOpLambda"}
layer044_re_lu_125default: {"build_config": {"input_shape": [null, 1, 1, 72]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_125", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_85", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_125", "registered_name": null}
layer045_tf.math.multiply_85default: {"build_config": {"input_shape": [null, 1, 1, 72]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_85", "trainable": false}, "inbound_nodes": [["re_lu_125", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_85", "registered_name": "TFOpLambda"}
layer046_expanded_conv_3_squeeze_excite_Muldefault: {"build_config": {"input_shape": [[null, 28, 28, 72], [null, 1, 1, 72]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "expanded_conv_3/squeeze_excite/Mul", "trainable": false}, "inbound_nodes": [[["re_lu_124", 0, 0, {}], ["tf.math.multiply_85", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_3/squeeze_excite/Mul", "registered_name": null}
layer047_expanded_conv_3_projectdefault: {"build_config": {"input_shape": [null, 28, 28, 72]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_3/squeeze_excite/Mul", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_3/project", "registered_name": null}
layer048_expanded_conv_3_project_BatchNormdefault: {"build_config": {"input_shape": [null, 28, 28, 40]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_3/project", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_3/project/BatchNorm", "registered_name": null}
layer049_expanded_conv_4_expanddefault: {"build_config": {"input_shape": [null, 28, 28, 40]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_3/project/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_4/expand", "registered_name": null}
layer050_expanded_conv_4_expand_BatchNormdefault: {"build_config": {"input_shape": [null, 28, 28, 120]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_4/expand", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_4/expand/BatchNorm", "registered_name": null}
layer051_re_lu_126default: {"build_config": {"input_shape": [null, 28, 28, 120]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": null, "name": "re_lu_126", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["expanded_conv_4/expand/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_126", "registered_name": null}
layer052_expanded_conv_4_depthwisedefault: {"build_config": {"input_shape": [null, 28, 28, 120]}, "class_name": "DepthwiseConv2D", "config": "linear", "inbound_nodes": [[["re_lu_126", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_4/depthwise", "registered_name": null}
layer053_expanded_conv_4_depthwise_BatchNormdefault: {"build_config": {"input_shape": [null, 28, 28, 120]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_4/depthwise", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_4/depthwise/BatchNorm", "registered_name": null}
layer054_re_lu_127default: {"build_config": {"input_shape": [null, 28, 28, 120]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": null, "name": "re_lu_127", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["expanded_conv_4/depthwise/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_127", "registered_name": null}
layer055_expanded_conv_4_squeeze_excite_AvgPooldefault: {"build_config": {"input_shape": [null, 28, 28, 120]}, "class_name": "GlobalAveragePooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "keepdims": true, "name": "expanded_conv_4/squeeze_excite/AvgPool", "trainable": false}, "inbound_nodes": [[["re_lu_127", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_4/squeeze_excite/AvgPool", "registered_name": null}
layer056_expanded_conv_4_squeeze_excite_Convdefault: {"build_config": {"input_shape": [null, 1, 1, 120]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_4/squeeze_excite/AvgPool", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_4/squeeze_excite/Conv", "registered_name": null}
layer057_expanded_conv_4_squeeze_excite_Reludefault: {"build_config": {"input_shape": [null, 1, 1, 32]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": null, "name": "expanded_conv_4/squeeze_excite/Relu", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["expanded_conv_4/squeeze_excite/Conv", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_4/squeeze_excite/Relu", "registered_name": null}
layer058_expanded_conv_4_squeeze_excite_Conv_1default: {"build_config": {"input_shape": [null, 1, 1, 32]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_4/squeeze_excite/Relu", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_4/squeeze_excite/Conv_1", "registered_name": null}
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layer281_dropout_14default: {"build_config": {"input_shape": [null, 256]}, "class_name": "Dropout", "config": {"dtype": "float32", "name": "dropout_14", "noise_shape": null, "rate": 0.25, "seed": null, "trainable": true}, "inbound_nodes": [[["batch_normalization_14", 0, 0, {}]]], "module": "keras.layers", "name": "dropout_14", "registered_name": null}
layer282_dense_15default: {"build_config": {"input_shape": [null, 256]}, "class_name": "Dense", "config": {"activation": "linear", "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": {"class_name": "L2", "config": {"l2": 0.009999999776482582}, "module": "keras.regularizers", "registered_name": null}, "name": "dense_15", "trainable": true, "units": 128, "use_bias": true}, "inbound_nodes": [[["dropout_14", 0, 0, {}]]], "module": "keras.layers", "name": "dense_15", "registered_name": null}
layer283_leaky_re_lu_11default: {"build_config": {"input_shape": [null, 128]}, "class_name": "LeakyReLU", "config": {"alpha": 0.10000000149011612, "dtype": "float32", "name": "leaky_re_lu_11", "trainable": true}, "inbound_nodes": [[["dense_15", 0, 0, {}]]], "module": "keras.layers", "name": "leaky_re_lu_11", "registered_name": null}
layer284_batch_normalization_15default: {"build_config": {"input_shape": [null, 128]}, "class_name": "BatchNormalization", "config": [1], "inbound_nodes": [[["leaky_re_lu_11", 0, 0, {}]]], "module": "keras.layers", "name": "batch_normalization_15", "registered_name": null}
layer285_dropout_15default: {"build_config": {"input_shape": [null, 128]}, "class_name": "Dropout", "config": {"dtype": "float32", "name": "dropout_15", "noise_shape": null, "rate": 0.25, "seed": null, "trainable": true}, "inbound_nodes": [[["batch_normalization_15", 0, 0, {}]]], "module": "keras.layers", "name": "dropout_15", "registered_name": null}
layer286_dense_16default: {"build_config": {"input_shape": [null, 128]}, "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": "dense_16", "trainable": true, "units": 67, "use_bias": true}, "inbound_nodes": [[["dropout_15", 0, 0, {}]]], "module": "keras.layers", "name": "dense_16", "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": true, "learning_rate": 0.00039999998989515007, "name": "Adam", "use_ema": false, "weight_decay": null}}}
tensorflow_versiondefault: "2.15.0"

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