Issue | #Downvotes for this reason | By |
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keras.engine.sequential.Sequential.4a701663(1) | Automatically created keras flow. |
keras.engine.sequential.Sequential.4a701663(1)_backend | "tensorflow" |
keras.engine.sequential.Sequential.4a701663(1)_class_name | "Sequential" |
keras.engine.sequential.Sequential.4a701663(1)_config | {"name": "sequential_1"} |
keras.engine.sequential.Sequential.4a701663(1)_keras_version | "2.2.4" |
keras.engine.sequential.Sequential.4a701663(1)_layer00_reshape_1 | {"class_name": "Reshape", "config": {"batch_input_shape": [null, 27648], "dtype": "float32", "name": "reshape_1", "target_shape": [96, 96, 3], "trainable": true}} |
keras.engine.sequential.Sequential.4a701663(1)_layer01_conv2d_1 | {"class_name": "Conv2D", "config": {"activation": "linear", "activity_regularizer": null, "batch_input_shape": [null, 32, 32, 3], "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "dtype": "float32", "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_1", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}} |
keras.engine.sequential.Sequential.4a701663(1)_layer02_dropout_1 | {"class_name": "Dropout", "config": {"name": "dropout_1", "noise_shape": null, "rate": 0.25, "seed": null, "trainable": true}} |
keras.engine.sequential.Sequential.4a701663(1)_layer03_conv2d_2 | {"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_2", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}} |
keras.engine.sequential.Sequential.4a701663(1)_layer04_conv2d_3 | {"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_3", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}} |
keras.engine.sequential.Sequential.4a701663(1)_layer05_max_pooling2d_1 | {"class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "name": "max_pooling2d_1", "padding": "valid", "pool_size": [2, 2], "strides": [2, 2], "trainable": true}} |
keras.engine.sequential.Sequential.4a701663(1)_layer06_dropout_2 | {"class_name": "Dropout", "config": {"name": "dropout_2", "noise_shape": null, "rate": 0.25, "seed": null, "trainable": true}} |
keras.engine.sequential.Sequential.4a701663(1)_layer07_conv2d_4 | {"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_4", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}} |
keras.engine.sequential.Sequential.4a701663(1)_layer08_max_pooling2d_2 | {"class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "name": "max_pooling2d_2", "padding": "valid", "pool_size": [2, 2], "strides": [2, 2], "trainable": true}} |
keras.engine.sequential.Sequential.4a701663(1)_layer09_dropout_3 | {"class_name": "Dropout", "config": {"name": "dropout_3", "noise_shape": null, "rate": 0.25, "seed": null, "trainable": true}} |
keras.engine.sequential.Sequential.4a701663(1)_layer10_flatten_1 | {"class_name": "Flatten", "config": {"data_format": "channels_last", "name": "flatten_1", "trainable": true}} |
keras.engine.sequential.Sequential.4a701663(1)_layer11_dense_1 | {"class_name": "Dense", "config": {"activation": "relu", "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_1", "trainable": true, "units": 1024, "use_bias": true}} |
keras.engine.sequential.Sequential.4a701663(1)_layer12_dense_2 | {"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_2", "trainable": true, "units": 2, "use_bias": true}} |
keras.engine.sequential.Sequential.4a701663(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} |
0.4997 Per class Cross-validation details (10-fold Crossvalidation)
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0.4466 Per class |
-0.0006 |
-0.0077 ± 0.0095 Cross-validation details (10-fold Crossvalidation)
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0.5038 ± 0.0048 Cross-validation details (10-fold Crossvalidation)
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0.4999 ± 0 Cross-validation details (10-fold Crossvalidation)
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0.4963 ± 0.0048 Cross-validation details (10-fold Crossvalidation)
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4000 Per class Cross-validation details (10-fold Crossvalidation) |
0.4996 Per class |
0.4963 ± 0.0048 Cross-validation details (10-fold Crossvalidation)
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0.9999 ± 0 Cross-validation details (10-fold Crossvalidation)
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1.0076 ± 0.0095 Cross-validation details (10-fold Crossvalidation)
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0.5 ± 0 Cross-validation details (10-fold Crossvalidation)
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0.7098 ± 0.0034 Cross-validation details (10-fold Crossvalidation)
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1.4196 ± 0.0067 Cross-validation details (10-fold Crossvalidation)
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0.4997 Cross-validation details (10-fold Crossvalidation)
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