Issue | #Downvotes for this reason | By |
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tensorflow.keras.src.engine.functional.Functional.a5f4e592(1) | Automatically created tensorflow flow. |
tensorflow.keras.src.engine.functional.Functional.a5f4e592(1)_backend | "tensorflow" |
tensorflow.keras.src.engine.functional.Functional.a5f4e592(1)_class_name | "Functional" |
tensorflow.keras.src.engine.functional.Functional.a5f4e592(1)_config | {"input_layers": [["input_3", 0, 0]], "name": "model_2", "output_layers": [["dense_5", 0, 0]], "trainable": true} |
tensorflow.keras.src.engine.functional.Functional.a5f4e592(1)_layer00_input_3 | {"class_name": "InputLayer", "config": {"batch_input_shape": [null, 128, 128, 3], "dtype": "float32", "name": "input_3", "ragged": false, "sparse": false}, "inbound_nodes": [], "module": "keras.layers", "name": "input_3", "registered_name": null} |
tensorflow.keras.src.engine.functional.Functional.a5f4e592(1)_layer01_conv2d_10 | {"build_config": {"input_shape": [null, 128, 128, 3]}, "class_name": "Conv2D", "config": "relu", "inbound_nodes": [[["input_3", 0, 0, {}]]], "module": "keras.layers", "name": "conv2d_10", "registered_name": null} |
tensorflow.keras.src.engine.functional.Functional.a5f4e592(1)_layer02_batch_normalization_12 | {"build_config": {"input_shape": [null, 124, 124, 32]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv2d_10", 0, 0, {}]]], "module": "keras.layers", "name": "batch_normalization_12", "registered_name": null} |
tensorflow.keras.src.engine.functional.Functional.a5f4e592(1)_layer03_max_pooling2d_10 | {"build_config": {"input_shape": [null, 124, 124, 32]}, "class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "max_pooling2d_10", "padding": "valid", "pool_size": [2, 2], "strides": [2, 2], "trainable": true}, "inbound_nodes": [[["batch_normalization_12", 0, 0, {}]]], "module": "keras.layers", "name": "max_pooling2d_10", "registered_name": null} |
tensorflow.keras.src.engine.functional.Functional.a5f4e592(1)_layer04_dropout_10 | {"build_config": {"input_shape": [null, 62, 62, 32]}, "class_name": "Dropout", "config": {"dtype": "float32", "name": "dropout_10", "noise_shape": null, "rate": 0.1, "seed": null, "trainable": true}, "inbound_nodes": [[["max_pooling2d_10", 0, 0, {}]]], "module": "keras.layers", "name": "dropout_10", "registered_name": null} |
tensorflow.keras.src.engine.functional.Functional.a5f4e592(1)_layer05_conv2d_11 | {"build_config": {"input_shape": [null, 62, 62, 32]}, "class_name": "Conv2D", "config": "relu", "inbound_nodes": [[["dropout_10", 0, 0, {}]]], "module": "keras.layers", "name": "conv2d_11", "registered_name": null} |
tensorflow.keras.src.engine.functional.Functional.a5f4e592(1)_layer06_batch_normalization_13 | {"build_config": {"input_shape": [null, 60, 60, 64]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv2d_11", 0, 0, {}]]], "module": "keras.layers", "name": "batch_normalization_13", "registered_name": null} |
tensorflow.keras.src.engine.functional.Functional.a5f4e592(1)_layer07_max_pooling2d_11 | {"build_config": {"input_shape": [null, 60, 60, 64]}, "class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "max_pooling2d_11", "padding": "valid", "pool_size": [2, 2], "strides": [2, 2], "trainable": true}, "inbound_nodes": [[["batch_normalization_13", 0, 0, {}]]], "module": "keras.layers", "name": "max_pooling2d_11", "registered_name": null} |
tensorflow.keras.src.engine.functional.Functional.a5f4e592(1)_layer08_dropout_11 | {"build_config": {"input_shape": [null, 30, 30, 64]}, "class_name": "Dropout", "config": {"dtype": "float32", "name": "dropout_11", "noise_shape": null, "rate": 0.1, "seed": null, "trainable": true}, "inbound_nodes": [[["max_pooling2d_11", 0, 0, {}]]], "module": "keras.layers", "name": "dropout_11", "registered_name": null} |
tensorflow.keras.src.engine.functional.Functional.a5f4e592(1)_layer09_conv2d_12 | {"build_config": {"input_shape": [null, 30, 30, 64]}, "class_name": "Conv2D", "config": "relu", "inbound_nodes": [[["dropout_11", 0, 0, {}]]], "module": "keras.layers", "name": "conv2d_12", "registered_name": null} |
tensorflow.keras.src.engine.functional.Functional.a5f4e592(1)_layer10_batch_normalization_14 | {"build_config": {"input_shape": [null, 28, 28, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv2d_12", 0, 0, {}]]], "module": "keras.layers", "name": "batch_normalization_14", "registered_name": null} |
tensorflow.keras.src.engine.functional.Functional.a5f4e592(1)_layer11_max_pooling2d_12 | {"build_config": {"input_shape": [null, 28, 28, 128]}, "class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "max_pooling2d_12", "padding": "valid", "pool_size": [2, 2], "strides": [2, 2], "trainable": true}, "inbound_nodes": [[["batch_normalization_14", 0, 0, {}]]], "module": "keras.layers", "name": "max_pooling2d_12", "registered_name": null} |
tensorflow.keras.src.engine.functional.Functional.a5f4e592(1)_layer12_dropout_12 | {"build_config": {"input_shape": [null, 14, 14, 128]}, "class_name": "Dropout", "config": {"dtype": "float32", "name": "dropout_12", "noise_shape": null, "rate": 0.1, "seed": null, "trainable": true}, "inbound_nodes": [[["max_pooling2d_12", 0, 0, {}]]], "module": "keras.layers", "name": "dropout_12", "registered_name": null} |
tensorflow.keras.src.engine.functional.Functional.a5f4e592(1)_layer13_conv2d_13 | {"build_config": {"input_shape": [null, 14, 14, 128]}, "class_name": "Conv2D", "config": "relu", "inbound_nodes": [[["dropout_12", 0, 0, {}]]], "module": "keras.layers", "name": "conv2d_13", "registered_name": null} |
tensorflow.keras.src.engine.functional.Functional.a5f4e592(1)_layer14_batch_normalization_15 | {"build_config": {"input_shape": [null, 12, 12, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv2d_13", 0, 0, {}]]], "module": "keras.layers", "name": "batch_normalization_15", "registered_name": null} |
tensorflow.keras.src.engine.functional.Functional.a5f4e592(1)_layer15_max_pooling2d_13 | {"build_config": {"input_shape": [null, 12, 12, 128]}, "class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "max_pooling2d_13", "padding": "valid", "pool_size": [2, 2], "strides": [2, 2], "trainable": true}, "inbound_nodes": [[["batch_normalization_15", 0, 0, {}]]], "module": "keras.layers", "name": "max_pooling2d_13", "registered_name": null} |
tensorflow.keras.src.engine.functional.Functional.a5f4e592(1)_layer16_dropout_13 | {"build_config": {"input_shape": [null, 6, 6, 128]}, "class_name": "Dropout", "config": {"dtype": "float32", "name": "dropout_13", "noise_shape": null, "rate": 0.1, "seed": null, "trainable": true}, "inbound_nodes": [[["max_pooling2d_13", 0, 0, {}]]], "module": "keras.layers", "name": "dropout_13", "registered_name": null} |
tensorflow.keras.src.engine.functional.Functional.a5f4e592(1)_layer17_conv2d_14 | {"build_config": {"input_shape": [null, 6, 6, 128]}, "class_name": "Conv2D", "config": "relu", "inbound_nodes": [[["dropout_13", 0, 0, {}]]], "module": "keras.layers", "name": "conv2d_14", "registered_name": null} |
tensorflow.keras.src.engine.functional.Functional.a5f4e592(1)_layer18_batch_normalization_16 | {"build_config": {"input_shape": [null, 4, 4, 64]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv2d_14", 0, 0, {}]]], "module": "keras.layers", "name": "batch_normalization_16", "registered_name": null} |
tensorflow.keras.src.engine.functional.Functional.a5f4e592(1)_layer19_max_pooling2d_14 | {"build_config": {"input_shape": [null, 4, 4, 64]}, "class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "max_pooling2d_14", "padding": "valid", "pool_size": [2, 2], "strides": [2, 2], "trainable": true}, "inbound_nodes": [[["batch_normalization_16", 0, 0, {}]]], "module": "keras.layers", "name": "max_pooling2d_14", "registered_name": null} |
tensorflow.keras.src.engine.functional.Functional.a5f4e592(1)_layer20_dropout_14 | {"build_config": {"input_shape": [null, 2, 2, 64]}, "class_name": "Dropout", "config": {"dtype": "float32", "name": "dropout_14", "noise_shape": null, "rate": 0.1, "seed": null, "trainable": true}, "inbound_nodes": [[["max_pooling2d_14", 0, 0, {}]]], "module": "keras.layers", "name": "dropout_14", "registered_name": null} |
tensorflow.keras.src.engine.functional.Functional.a5f4e592(1)_layer21_flatten_2 | {"build_config": {"input_shape": [null, 2, 2, 64]}, "class_name": "Flatten", "config": {"data_format": "channels_last", "dtype": "float32", "name": "flatten_2", "trainable": true}, "inbound_nodes": [[["dropout_14", 0, 0, {}]]], "module": "keras.layers", "name": "flatten_2", "registered_name": null} |
tensorflow.keras.src.engine.functional.Functional.a5f4e592(1)_layer22_dense_4 | {"build_config": {"input_shape": [null, 256]}, "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": {"class_name": "L2", "config": {"l2": 0.009999999776482582}, "module": "keras.regularizers", "registered_name": null}, "name": "dense_4", "trainable": true, "units": 64, "use_bias": true}, "inbound_nodes": [[["flatten_2", 0, 0, {}]]], "module": "keras.layers", "name": "dense_4", "registered_name": null} |
tensorflow.keras.src.engine.functional.Functional.a5f4e592(1)_layer23_batch_normalization_17 | {"build_config": {"input_shape": [null, 64]}, "class_name": "BatchNormalization", "config": [1], "inbound_nodes": [[["dense_4", 0, 0, {}]]], "module": "keras.layers", "name": "batch_normalization_17", "registered_name": null} |
tensorflow.keras.src.engine.functional.Functional.a5f4e592(1)_layer24_dense_5 | {"build_config": {"input_shape": [null, 64]}, "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_5", "trainable": true, "units": 67, "use_bias": true}, "inbound_nodes": [[["batch_normalization_17", 0, 0, {}]]], "module": "keras.layers", "name": "dense_5", "registered_name": null} |
tensorflow.keras.src.engine.functional.Functional.a5f4e592(1)_optimizer | {"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": {"class_name": "ExponentialDecay", "config": {"decay_rate": 0.96, "decay_steps": 8750, "initial_learning_rate": 0.001, "name": null, "staircase": false}, "module": "keras.optimizers.schedules", "registered_name": null}, "name": "Adam", "use_ema": false, "weight_decay": null}}} |
tensorflow.keras.src.engine.functional.Functional.a5f4e592(1)_tensorflow_version | "2.15.0" |
0.9033 ± 0.0017 Per class Cross-validation details (3-fold Crossvalidation)
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0.3136 ± 0.0117 Per class Cross-validation details (3-fold Crossvalidation)
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0.3096 ± 0.0091 Cross-validation details (3-fold Crossvalidation)
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0.4147 ± 0.0131 Cross-validation details (3-fold Crossvalidation)
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0.0231 ± 0.0002 Cross-validation details (3-fold Crossvalidation)
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0.0292 ± 0 Cross-validation details (3-fold Crossvalidation)
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0.3272 ± 0.0085 Cross-validation details (3-fold Crossvalidation)
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15620 Per class Cross-validation details (3-fold Crossvalidation) |
0.332 ± 0.016 Per class Cross-validation details (3-fold Crossvalidation)
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0.3272 ± 0.0085 Cross-validation details (3-fold Crossvalidation)
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5.7539 ± 0.0007 Cross-validation details (3-fold Crossvalidation)
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0.7918 ± 0.0061 Cross-validation details (3-fold Crossvalidation)
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0.1208 ± 0 Cross-validation details (3-fold Crossvalidation)
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0.1107 ± 0.0006 Cross-validation details (3-fold Crossvalidation)
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0.917 ± 0.0049 Cross-validation details (3-fold Crossvalidation)
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0.2659 ± 0.0185 Cross-validation details (3-fold Crossvalidation)
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