Issue | #Downvotes for this reason | By |
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keras.engine.sequential.Sequential.e15d1d92(1) | Automatically created keras flow. |
keras.engine.sequential.Sequential.e15d1d92(1)_backend | "tensorflow" |
keras.engine.sequential.Sequential.e15d1d92(1)_class_name | "Sequential" |
keras.engine.sequential.Sequential.e15d1d92(1)_config | {"name": "sequential_7"} |
keras.engine.sequential.Sequential.e15d1d92(1)_keras_version | "2.2.4" |
keras.engine.sequential.Sequential.e15d1d92(1)_layer00_reshape_5 | {"class_name": "Reshape", "config": {"batch_input_shape": [null, 27648], "dtype": "float32", "name": "reshape_5", "target_shape": [96, 96, 3], "trainable": true}} |
keras.engine.sequential.Sequential.e15d1d92(1)_layer01_conv2d_28 | {"class_name": "Conv2D", "config": {"activation": "linear", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 32, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [3, 3], "name": "conv2d_28", "padding": "valid", "strides": [1, 1], "trainable": true, "use_bias": false}} |
keras.engine.sequential.Sequential.e15d1d92(1)_layer02_batch_normalization_26 | {"class_name": "BatchNormalization", "config": {"axis": -1, "beta_constraint": null, "beta_initializer": {"class_name": "Zeros", "config": {}}, "beta_regularizer": null, "center": true, "epsilon": 0.001, "gamma_constraint": null, "gamma_initializer": {"class_name": "Ones", "config": {}}, "gamma_regularizer": null, "momentum": 0.99, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "name": "batch_normalization_26", "scale": true, "trainable": true}} |
keras.engine.sequential.Sequential.e15d1d92(1)_layer03_activation_26 | {"class_name": "Activation", "config": {"activation": "relu", "name": "activation_26", "trainable": true}} |
keras.engine.sequential.Sequential.e15d1d92(1)_layer04_max_pooling2d_16 | {"class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "name": "max_pooling2d_16", "padding": "valid", "pool_size": [2, 2], "strides": [2, 2], "trainable": true}} |
keras.engine.sequential.Sequential.e15d1d92(1)_layer05_dropout_21 | {"class_name": "Dropout", "config": {"name": "dropout_21", "noise_shape": null, "rate": 0.3, "seed": null, "trainable": true}} |
keras.engine.sequential.Sequential.e15d1d92(1)_layer06_conv2d_29 | {"class_name": "Conv2D", "config": {"activation": "linear", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 64, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [3, 3], "name": "conv2d_29", "padding": "valid", "strides": [1, 1], "trainable": true, "use_bias": false}} |
keras.engine.sequential.Sequential.e15d1d92(1)_layer07_batch_normalization_27 | {"class_name": "BatchNormalization", "config": {"axis": -1, "beta_constraint": null, "beta_initializer": {"class_name": "Zeros", "config": {}}, "beta_regularizer": null, "center": true, "epsilon": 0.001, "gamma_constraint": null, "gamma_initializer": {"class_name": "Ones", "config": {}}, "gamma_regularizer": null, "momentum": 0.99, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "name": "batch_normalization_27", "scale": true, "trainable": true}} |
keras.engine.sequential.Sequential.e15d1d92(1)_layer08_activation_27 | {"class_name": "Activation", "config": {"activation": "relu", "name": "activation_27", "trainable": true}} |
keras.engine.sequential.Sequential.e15d1d92(1)_layer09_conv2d_30 | {"class_name": "Conv2D", "config": {"activation": "linear", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 64, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [3, 3], "name": "conv2d_30", "padding": "valid", "strides": [1, 1], "trainable": true, "use_bias": false}} |
keras.engine.sequential.Sequential.e15d1d92(1)_layer10_batch_normalization_28 | {"class_name": "BatchNormalization", "config": {"axis": -1, "beta_constraint": null, "beta_initializer": {"class_name": "Zeros", "config": {}}, "beta_regularizer": null, "center": true, "epsilon": 0.001, "gamma_constraint": null, "gamma_initializer": {"class_name": "Ones", "config": {}}, "gamma_regularizer": null, "momentum": 0.99, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "name": "batch_normalization_28", "scale": true, "trainable": true}} |
keras.engine.sequential.Sequential.e15d1d92(1)_layer11_activation_28 | {"class_name": "Activation", "config": {"activation": "relu", "name": "activation_28", "trainable": true}} |
keras.engine.sequential.Sequential.e15d1d92(1)_layer12_max_pooling2d_17 | {"class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "name": "max_pooling2d_17", "padding": "valid", "pool_size": [2, 2], "strides": [2, 2], "trainable": true}} |
keras.engine.sequential.Sequential.e15d1d92(1)_layer13_dropout_22 | {"class_name": "Dropout", "config": {"name": "dropout_22", "noise_shape": null, "rate": 0.3, "seed": null, "trainable": true}} |
keras.engine.sequential.Sequential.e15d1d92(1)_layer14_conv2d_31 | {"class_name": "Conv2D", "config": {"activation": "linear", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 128, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [3, 3], "name": "conv2d_31", "padding": "valid", "strides": [1, 1], "trainable": true, "use_bias": false}} |
keras.engine.sequential.Sequential.e15d1d92(1)_layer15_batch_normalization_29 | {"class_name": "BatchNormalization", "config": {"axis": -1, "beta_constraint": null, "beta_initializer": {"class_name": "Zeros", "config": {}}, "beta_regularizer": null, "center": true, "epsilon": 0.001, "gamma_constraint": null, "gamma_initializer": {"class_name": "Ones", "config": {}}, "gamma_regularizer": null, "momentum": 0.99, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "name": "batch_normalization_29", "scale": true, "trainable": true}} |
keras.engine.sequential.Sequential.e15d1d92(1)_layer16_activation_29 | {"class_name": "Activation", "config": {"activation": "relu", "name": "activation_29", "trainable": true}} |
keras.engine.sequential.Sequential.e15d1d92(1)_layer17_conv2d_32 | {"class_name": "Conv2D", "config": {"activation": "linear", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 128, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [3, 3], "name": "conv2d_32", "padding": "valid", "strides": [1, 1], "trainable": true, "use_bias": false}} |
keras.engine.sequential.Sequential.e15d1d92(1)_layer18_batch_normalization_30 | {"class_name": "BatchNormalization", "config": {"axis": -1, "beta_constraint": null, "beta_initializer": {"class_name": "Zeros", "config": {}}, "beta_regularizer": null, "center": true, "epsilon": 0.001, "gamma_constraint": null, "gamma_initializer": {"class_name": "Ones", "config": {}}, "gamma_regularizer": null, "momentum": 0.99, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "name": "batch_normalization_30", "scale": true, "trainable": true}} |
keras.engine.sequential.Sequential.e15d1d92(1)_layer19_activation_30 | {"class_name": "Activation", "config": {"activation": "relu", "name": "activation_30", "trainable": true}} |
keras.engine.sequential.Sequential.e15d1d92(1)_layer20_max_pooling2d_18 | {"class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "name": "max_pooling2d_18", "padding": "valid", "pool_size": [2, 2], "strides": [2, 2], "trainable": true}} |
keras.engine.sequential.Sequential.e15d1d92(1)_layer21_dropout_23 | {"class_name": "Dropout", "config": {"name": "dropout_23", "noise_shape": null, "rate": 0.3, "seed": null, "trainable": true}} |
keras.engine.sequential.Sequential.e15d1d92(1)_layer22_flatten_6 | {"class_name": "Flatten", "config": {"data_format": "channels_last", "name": "flatten_6", "trainable": true}} |
keras.engine.sequential.Sequential.e15d1d92(1)_layer23_dense_11 | {"class_name": "Dense", "config": {"activation": "linear", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "name": "dense_11", "trainable": true, "units": 256, "use_bias": false}} |
keras.engine.sequential.Sequential.e15d1d92(1)_layer24_batch_normalization_31 | {"class_name": "BatchNormalization", "config": {"axis": -1, "beta_constraint": null, "beta_initializer": {"class_name": "Zeros", "config": {}}, "beta_regularizer": null, "center": true, "epsilon": 0.001, "gamma_constraint": null, "gamma_initializer": {"class_name": "Ones", "config": {}}, "gamma_regularizer": null, "momentum": 0.99, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "name": "batch_normalization_31", "scale": true, "trainable": true}} |
keras.engine.sequential.Sequential.e15d1d92(1)_layer25_activation_31 | {"class_name": "Activation", "config": {"activation": "relu", "name": "activation_31", "trainable": true}} |
keras.engine.sequential.Sequential.e15d1d92(1)_layer26_dropout_24 | {"class_name": "Dropout", "config": {"name": "dropout_24", "noise_shape": null, "rate": 0.5, "seed": null, "trainable": true}} |
keras.engine.sequential.Sequential.e15d1d92(1)_layer27_dense_12 | {"class_name": "Dense", "config": {"activation": "softmax", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "name": "dense_12", "trainable": true, "units": 2, "use_bias": true}} |
keras.engine.sequential.Sequential.e15d1d92(1)_optimizer | {"loss": "sparse_categorical_crossentropy", "loss_weights": null, "metrics": ["accuracy"], "optimizer_config": {"class_name": "Adam", "config": {"amsgrad": false, "beta_1": 0.8999999761581421, "beta_2": 0.9990000128746033, "decay": 0.0, "epsilon": 1e-07, "lr": 0.0010000000474974513}}, "sample_weight_mode": null, "weighted_metrics": null} |
0.8242 ± 0.1156 Per class Cross-validation details (10-fold Crossvalidation)
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0.7725 ± 0.091 Per class Cross-validation details (10-fold Crossvalidation)
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0.5468 ± 0.1649 Cross-validation details (10-fold Crossvalidation)
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0.4892 ± 0.144 Cross-validation details (10-fold Crossvalidation)
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0.2633 ± 0.07 Cross-validation details (10-fold Crossvalidation)
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0.5 ± 0 Cross-validation details (10-fold Crossvalidation)
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0.7734 ± 0.0824 Cross-validation details (10-fold Crossvalidation)
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16000 Per class Cross-validation details (10-fold Crossvalidation) |
0.7777 ± 0.0677 Per class Cross-validation details (10-fold Crossvalidation)
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0.7734 ± 0.0824 Cross-validation details (10-fold Crossvalidation)
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1 ± 0 Cross-validation details (10-fold Crossvalidation)
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0.5266 ± 0.14 Cross-validation details (10-fold Crossvalidation)
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0.5 ± 0 Cross-validation details (10-fold Crossvalidation)
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0.4206 ± 0.0879 Cross-validation details (10-fold Crossvalidation)
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0.8413 ± 0.1759 Cross-validation details (10-fold Crossvalidation)
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0.7734 ± 0.0824 Cross-validation details (10-fold Crossvalidation)
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