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tensorflow.keras.src.engine.sequential.Sequential.ae9bac96

tensorflow.keras.src.engine.sequential.Sequential.ae9bac96

Visibility: public Uploaded 14-04-2024 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: "Sequential"
configdefault: {"name": "sequential"}
layer000_resnet50v2_inputdefault: {"class_name": "InputLayer", "config": {"batch_input_shape": [null, 128, 128, 3], "dtype": "float32", "name": "resnet50v2_input", "ragged": false, "sparse": false}, "module": "keras.layers", "registered_name": null}
layer001_input_1default: {"class_name": "InputLayer", "config": {"batch_input_shape": [null, 128, 128, 3], "dtype": "float32", "name": "input_1", "ragged": false, "sparse": false}, "inbound_nodes": [], "module": "keras.layers", "name": "input_1", "registered_name": null}
layer002_conv1_paddefault: {"build_config": {"input_shape": [null, 128, 128, 3]}, "class_name": "ZeroPadding2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "conv1_pad", "padding": [[3, 3], [3, 3]], "trainable": true}, "inbound_nodes": [[["input_1", 0, 0, {}]]], "module": "keras.layers", "name": "conv1_pad", "registered_name": null}
layer003_conv1_convdefault: {"build_config": {"input_shape": [null, 134, 134, 3]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv1_pad", 0, 0, {}]]], "module": "keras.layers", "name": "conv1_conv", "registered_name": null}
layer004_pool1_paddefault: {"build_config": {"input_shape": [null, 64, 64, 64]}, "class_name": "ZeroPadding2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "pool1_pad", "padding": [[1, 1], [1, 1]], "trainable": true}, "inbound_nodes": [[["conv1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "pool1_pad", "registered_name": null}
layer005_pool1_pooldefault: {"build_config": {"input_shape": [null, 66, 66, 64]}, "class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "pool1_pool", "padding": "valid", "pool_size": [3, 3], "strides": [2, 2], "trainable": true}, "inbound_nodes": [[["pool1_pad", 0, 0, {}]]], "module": "keras.layers", "name": "pool1_pool", "registered_name": null}
layer006_conv2_block1_preact_bndefault: {"build_config": {"input_shape": [null, 32, 32, 64]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["pool1_pool", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block1_preact_bn", "registered_name": null}
layer007_conv2_block1_preact_reludefault: {"build_config": {"input_shape": [null, 32, 32, 64]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv2_block1_preact_relu", "trainable": true}, "inbound_nodes": [[["conv2_block1_preact_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block1_preact_relu", "registered_name": null}
layer008_conv2_block1_1_convdefault: {"build_config": {"input_shape": [null, 32, 32, 64]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv2_block1_preact_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block1_1_conv", "registered_name": null}
layer009_conv2_block1_1_bndefault: {"build_config": {"input_shape": [null, 32, 32, 64]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv2_block1_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block1_1_bn", "registered_name": null}
layer010_conv2_block1_1_reludefault: {"build_config": {"input_shape": [null, 32, 32, 64]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv2_block1_1_relu", "trainable": true}, "inbound_nodes": [[["conv2_block1_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block1_1_relu", "registered_name": null}
layer011_conv2_block1_2_paddefault: {"build_config": {"input_shape": [null, 32, 32, 64]}, "class_name": "ZeroPadding2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "conv2_block1_2_pad", "padding": [[1, 1], [1, 1]], "trainable": true}, "inbound_nodes": [[["conv2_block1_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block1_2_pad", "registered_name": null}
layer012_conv2_block1_2_convdefault: {"build_config": {"input_shape": [null, 34, 34, 64]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv2_block1_2_pad", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block1_2_conv", "registered_name": null}
layer013_conv2_block1_2_bndefault: {"build_config": {"input_shape": [null, 32, 32, 64]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv2_block1_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block1_2_bn", "registered_name": null}
layer014_conv2_block1_2_reludefault: {"build_config": {"input_shape": [null, 32, 32, 64]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv2_block1_2_relu", "trainable": true}, "inbound_nodes": [[["conv2_block1_2_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block1_2_relu", "registered_name": null}
layer015_conv2_block1_0_convdefault: {"build_config": {"input_shape": [null, 32, 32, 64]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv2_block1_preact_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block1_0_conv", "registered_name": null}
layer016_conv2_block1_3_convdefault: {"build_config": {"input_shape": [null, 32, 32, 64]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv2_block1_2_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block1_3_conv", "registered_name": null}
layer017_conv2_block1_outdefault: {"build_config": {"input_shape": [[null, 32, 32, 256], [null, 32, 32, 256]]}, "class_name": "Add", "config": {"dtype": "float32", "name": "conv2_block1_out", "trainable": true}, "inbound_nodes": [[["conv2_block1_0_conv", 0, 0, {}], ["conv2_block1_3_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block1_out", "registered_name": null}
layer018_conv2_block2_preact_bndefault: {"build_config": {"input_shape": [null, 32, 32, 256]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv2_block1_out", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block2_preact_bn", "registered_name": null}
layer019_conv2_block2_preact_reludefault: {"build_config": {"input_shape": [null, 32, 32, 256]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv2_block2_preact_relu", "trainable": true}, "inbound_nodes": [[["conv2_block2_preact_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block2_preact_relu", "registered_name": null}
layer020_conv2_block2_1_convdefault: {"build_config": {"input_shape": [null, 32, 32, 256]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv2_block2_preact_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block2_1_conv", "registered_name": null}
layer021_conv2_block2_1_bndefault: {"build_config": {"input_shape": [null, 32, 32, 64]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv2_block2_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block2_1_bn", "registered_name": null}
layer022_conv2_block2_1_reludefault: {"build_config": {"input_shape": [null, 32, 32, 64]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv2_block2_1_relu", "trainable": true}, "inbound_nodes": [[["conv2_block2_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block2_1_relu", "registered_name": null}
layer023_conv2_block2_2_paddefault: {"build_config": {"input_shape": [null, 32, 32, 64]}, "class_name": "ZeroPadding2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "conv2_block2_2_pad", "padding": [[1, 1], [1, 1]], "trainable": true}, "inbound_nodes": [[["conv2_block2_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block2_2_pad", "registered_name": null}
layer024_conv2_block2_2_convdefault: {"build_config": {"input_shape": [null, 34, 34, 64]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv2_block2_2_pad", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block2_2_conv", "registered_name": null}
layer025_conv2_block2_2_bndefault: {"build_config": {"input_shape": [null, 32, 32, 64]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv2_block2_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block2_2_bn", "registered_name": null}
layer026_conv2_block2_2_reludefault: {"build_config": {"input_shape": [null, 32, 32, 64]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv2_block2_2_relu", "trainable": true}, "inbound_nodes": [[["conv2_block2_2_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block2_2_relu", "registered_name": null}
layer027_conv2_block2_3_convdefault: {"build_config": {"input_shape": [null, 32, 32, 64]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv2_block2_2_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block2_3_conv", "registered_name": null}
layer028_conv2_block2_outdefault: {"build_config": {"input_shape": [[null, 32, 32, 256], [null, 32, 32, 256]]}, "class_name": "Add", "config": {"dtype": "float32", "name": "conv2_block2_out", "trainable": true}, "inbound_nodes": [[["conv2_block1_out", 0, 0, {}], ["conv2_block2_3_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block2_out", "registered_name": null}
layer029_conv2_block3_preact_bndefault: {"build_config": {"input_shape": [null, 32, 32, 256]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv2_block2_out", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block3_preact_bn", "registered_name": null}
layer030_conv2_block3_preact_reludefault: {"build_config": {"input_shape": [null, 32, 32, 256]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv2_block3_preact_relu", "trainable": true}, "inbound_nodes": [[["conv2_block3_preact_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block3_preact_relu", "registered_name": null}
layer031_conv2_block3_1_convdefault: {"build_config": {"input_shape": [null, 32, 32, 256]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv2_block3_preact_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block3_1_conv", "registered_name": null}
layer032_conv2_block3_1_bndefault: {"build_config": {"input_shape": [null, 32, 32, 64]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv2_block3_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block3_1_bn", "registered_name": null}
layer033_conv2_block3_1_reludefault: {"build_config": {"input_shape": [null, 32, 32, 64]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv2_block3_1_relu", "trainable": true}, "inbound_nodes": [[["conv2_block3_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block3_1_relu", "registered_name": null}
layer034_conv2_block3_2_paddefault: {"build_config": {"input_shape": [null, 32, 32, 64]}, "class_name": "ZeroPadding2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "conv2_block3_2_pad", "padding": [[1, 1], [1, 1]], "trainable": true}, "inbound_nodes": [[["conv2_block3_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block3_2_pad", "registered_name": null}
layer035_conv2_block3_2_convdefault: {"build_config": {"input_shape": [null, 34, 34, 64]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv2_block3_2_pad", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block3_2_conv", "registered_name": null}
layer036_conv2_block3_2_bndefault: {"build_config": {"input_shape": [null, 16, 16, 64]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv2_block3_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block3_2_bn", "registered_name": null}
layer037_conv2_block3_2_reludefault: {"build_config": {"input_shape": [null, 16, 16, 64]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv2_block3_2_relu", "trainable": true}, "inbound_nodes": [[["conv2_block3_2_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block3_2_relu", "registered_name": null}
layer038_max_pooling2ddefault: {"build_config": {"input_shape": [null, 32, 32, 256]}, "class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "max_pooling2d", "padding": "valid", "pool_size": [1, 1], "strides": [2, 2], "trainable": true}, "inbound_nodes": [[["conv2_block2_out", 0, 0, {}]]], "module": "keras.layers", "name": "max_pooling2d", "registered_name": null}
layer039_conv2_block3_3_convdefault: {"build_config": {"input_shape": [null, 16, 16, 64]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv2_block3_2_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block3_3_conv", "registered_name": null}
layer040_conv2_block3_outdefault: {"build_config": {"input_shape": [[null, 16, 16, 256], [null, 16, 16, 256]]}, "class_name": "Add", "config": {"dtype": "float32", "name": "conv2_block3_out", "trainable": true}, "inbound_nodes": [[["max_pooling2d", 0, 0, {}], ["conv2_block3_3_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block3_out", "registered_name": null}
layer041_conv3_block1_preact_bndefault: {"build_config": {"input_shape": [null, 16, 16, 256]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv2_block3_out", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block1_preact_bn", "registered_name": null}
layer042_conv3_block1_preact_reludefault: {"build_config": {"input_shape": [null, 16, 16, 256]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv3_block1_preact_relu", "trainable": true}, "inbound_nodes": [[["conv3_block1_preact_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block1_preact_relu", "registered_name": null}
layer043_conv3_block1_1_convdefault: {"build_config": {"input_shape": [null, 16, 16, 256]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv3_block1_preact_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block1_1_conv", "registered_name": null}
layer044_conv3_block1_1_bndefault: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv3_block1_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block1_1_bn", "registered_name": null}
layer045_conv3_block1_1_reludefault: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv3_block1_1_relu", "trainable": true}, "inbound_nodes": [[["conv3_block1_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block1_1_relu", "registered_name": null}
layer046_conv3_block1_2_paddefault: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "ZeroPadding2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "conv3_block1_2_pad", "padding": [[1, 1], [1, 1]], "trainable": true}, "inbound_nodes": [[["conv3_block1_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block1_2_pad", "registered_name": null}
layer047_conv3_block1_2_convdefault: {"build_config": {"input_shape": [null, 18, 18, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv3_block1_2_pad", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block1_2_conv", "registered_name": null}
layer048_conv3_block1_2_bndefault: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv3_block1_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block1_2_bn", "registered_name": null}
layer049_conv3_block1_2_reludefault: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv3_block1_2_relu", "trainable": true}, "inbound_nodes": [[["conv3_block1_2_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block1_2_relu", "registered_name": null}
layer050_conv3_block1_0_convdefault: {"build_config": {"input_shape": [null, 16, 16, 256]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv3_block1_preact_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block1_0_conv", "registered_name": null}
layer051_conv3_block1_3_convdefault: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv3_block1_2_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block1_3_conv", "registered_name": null}
layer052_conv3_block1_outdefault: {"build_config": {"input_shape": [[null, 16, 16, 512], [null, 16, 16, 512]]}, "class_name": "Add", "config": {"dtype": "float32", "name": "conv3_block1_out", "trainable": true}, "inbound_nodes": [[["conv3_block1_0_conv", 0, 0, {}], ["conv3_block1_3_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block1_out", "registered_name": null}
layer053_conv3_block2_preact_bndefault: {"build_config": {"input_shape": [null, 16, 16, 512]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv3_block1_out", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block2_preact_bn", "registered_name": null}
layer054_conv3_block2_preact_reludefault: {"build_config": {"input_shape": [null, 16, 16, 512]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv3_block2_preact_relu", "trainable": true}, "inbound_nodes": [[["conv3_block2_preact_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block2_preact_relu", "registered_name": null}
layer055_conv3_block2_1_convdefault: {"build_config": {"input_shape": [null, 16, 16, 512]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv3_block2_preact_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block2_1_conv", "registered_name": null}
layer056_conv3_block2_1_bndefault: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv3_block2_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block2_1_bn", "registered_name": null}
layer057_conv3_block2_1_reludefault: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv3_block2_1_relu", "trainable": true}, "inbound_nodes": [[["conv3_block2_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block2_1_relu", "registered_name": null}
layer058_conv3_block2_2_paddefault: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "ZeroPadding2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "conv3_block2_2_pad", "padding": [[1, 1], [1, 1]], "trainable": true}, "inbound_nodes": [[["conv3_block2_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block2_2_pad", "registered_name": null}
layer059_conv3_block2_2_convdefault: {"build_config": {"input_shape": [null, 18, 18, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv3_block2_2_pad", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block2_2_conv", "registered_name": null}
layer060_conv3_block2_2_bndefault: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv3_block2_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block2_2_bn", "registered_name": null}
layer061_conv3_block2_2_reludefault: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv3_block2_2_relu", "trainable": true}, "inbound_nodes": [[["conv3_block2_2_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block2_2_relu", "registered_name": null}
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layer188_conv5_block3_outdefault: {"build_config": {"input_shape": [[null, 4, 4, 2048], [null, 4, 4, 2048]]}, "class_name": "Add", "config": {"dtype": "float32", "name": "conv5_block3_out", "trainable": true}, "inbound_nodes": [[["conv5_block2_out", 0, 0, {}], ["conv5_block3_3_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block3_out", "registered_name": null}
layer189_post_bndefault: {"build_config": {"input_shape": [null, 4, 4, 2048]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv5_block3_out", 0, 0, {}]]], "module": "keras.layers", "name": "post_bn", "registered_name": null}
layer190_post_reludefault: {"build_config": {"input_shape": [null, 4, 4, 2048]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "post_relu", "trainable": true}, "inbound_nodes": [[["post_bn", 0, 0, {}]]], "module": "keras.layers", "name": "post_relu", "registered_name": null}
layer191_global_average_pooling2ddefault: {"build_config": {"input_shape": [null, 4, 4, 2048]}, "class_name": "GlobalAveragePooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "keepdims": false, "name": "global_average_pooling2d", "trainable": true}, "module": "keras.layers", "registered_name": null}
layer192_densedefault: {"build_config": {"input_shape": [null, 2048]}, "class_name": "Dense", "config": {"activation": "relu", "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", "trainable": true, "units": 1024, "use_bias": true}, "module": "keras.layers", "registered_name": null}
layer193_batch_normalizationdefault: {"build_config": {"input_shape": [null, 1024]}, "class_name": "BatchNormalization", "config": [1], "module": "keras.layers", "registered_name": null}
layer194_dropoutdefault: {"build_config": {"input_shape": [null, 1024]}, "class_name": "Dropout", "config": {"dtype": "float32", "name": "dropout", "noise_shape": null, "rate": 0.5, "seed": null, "trainable": true}, "module": "keras.layers", "registered_name": null}
layer195_dense_1default: {"build_config": {"input_shape": [null, 1024]}, "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_1", "trainable": true, "units": 67, "use_bias": true}, "module": "keras.layers", "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": 9.999999747378752e-05, "name": "Adam", "use_ema": false, "weight_decay": null}}}
tensorflow_versiondefault: "2.15.0"

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