keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Reshape,Zero
Padding2D,Conv2D,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormaliza
tion,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,Batc
hNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2
D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Co
nv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Act
ivation,AveragePooling2D,Flatten,Dense)(1) | Automatically created scikit-learn flow. |
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Reshape,ZeroPadding2D,Conv2D,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,AveragePooling2D,Flatten,Dense)(1)_batch_size | 128 |
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Reshape,ZeroPadding2D,Conv2D,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,AveragePooling2D,Flatten,Dense)(1)_build_fn | {"oml-python:serialized_object": "function", "value": "__main__.resnet20v2_umistfacescropped_olivettifaces_5_128_False"} |
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Reshape,ZeroPadding2D,Conv2D,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,AveragePooling2D,Flatten,Dense)(1)_epochs | 5 |
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Reshape,ZeroPadding2D,Conv2D,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,AveragePooling2D,Flatten,Dense)(1)_layer0 | {"class_name": "InputLayer", "config": {"batch_input_shape": [null, 10304], "dtype": "float32", "name": "input_11", "sparse": false}, "inbound_nodes": [], "name": "input_11"} |
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Reshape,ZeroPadding2D,Conv2D,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,AveragePooling2D,Flatten,Dense)(1)_layer1 | {"class_name": "Reshape", "config": {"name": "reshape_26", "target_shape": [112, 92, 1], "trainable": true}, "inbound_nodes": [[["input_11", 0, 0, {}]]], "name": "reshape_26"} |
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Reshape,ZeroPadding2D,Conv2D,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,AveragePooling2D,Flatten,Dense)(1)_layer10 | {"class_name": "Activation", "config": {"activation": "relu", "name": "activation_92", "trainable": true}, "inbound_nodes": [[["batch_normalization_107", 0, 0, {}]]], "name": "activation_92"} |
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Reshape,ZeroPadding2D,Conv2D,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,AveragePooling2D,Flatten,Dense)(1)_layer11 | {"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": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "kernel_size": [1, 1], "name": "conv2d_170", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["conv2d_166", 0, 0, {}]]], "name": "conv2d_170"} |
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Reshape,ZeroPadding2D,Conv2D,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,AveragePooling2D,Flatten,Dense)(1)_layer12 | {"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": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "kernel_size": [1, 1], "name": "conv2d_169", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_92", 0, 0, {}]]], "name": "conv2d_169"} |
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Reshape,ZeroPadding2D,Conv2D,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,AveragePooling2D,Flatten,Dense)(1)_layer13 | {"class_name": "Add", "config": {"name": "add_31", "trainable": true}, "inbound_nodes": [[["conv2d_170", 0, 0, {}], ["conv2d_169", 0, 0, {}]]], "name": "add_31"} |
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Reshape,ZeroPadding2D,Conv2D,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,AveragePooling2D,Flatten,Dense)(1)_layer14 | {"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_108", "scale": true, "trainable": true}, "inbound_nodes": [[["add_31", 0, 0, {}]]], "name": "batch_normalization_108"} |
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Reshape,ZeroPadding2D,Conv2D,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,AveragePooling2D,Flatten,Dense)(1)_layer15 | {"class_name": "Activation", "config": {"activation": "relu", "name": "activation_93", "trainable": true}, "inbound_nodes": [[["batch_normalization_108", 0, 0, {}]]], "name": "activation_93"} |
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Reshape,ZeroPadding2D,Conv2D,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,AveragePooling2D,Flatten,Dense)(1)_layer16 | {"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": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "kernel_size": [1, 1], "name": "conv2d_171", "padding": "same", "strides": [2, 2], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_93", 0, 0, {}]]], "name": "conv2d_171"} |
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Reshape,ZeroPadding2D,Conv2D,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,AveragePooling2D,Flatten,Dense)(1)_layer17 | {"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_109", "scale": true, "trainable": true}, "inbound_nodes": [[["conv2d_171", 0, 0, {}]]], "name": "batch_normalization_109"} |
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Reshape,ZeroPadding2D,Conv2D,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,AveragePooling2D,Flatten,Dense)(1)_layer18 | {"class_name": "Activation", "config": {"activation": "relu", "name": "activation_94", "trainable": true}, "inbound_nodes": [[["batch_normalization_109", 0, 0, {}]]], "name": "activation_94"} |
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Reshape,ZeroPadding2D,Conv2D,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,AveragePooling2D,Flatten,Dense)(1)_layer19 | {"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": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "kernel_size": [3, 3], "name": "conv2d_172", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_94", 0, 0, {}]]], "name": "conv2d_172"} |
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Reshape,ZeroPadding2D,Conv2D,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,AveragePooling2D,Flatten,Dense)(1)_layer2 | {"class_name": "Reshape", "config": {"name": "reshape_27", "target_shape": [112, 92, 1], "trainable": true}, "inbound_nodes": [[["reshape_26", 0, 0, {}]]], "name": "reshape_27"} |
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Reshape,ZeroPadding2D,Conv2D,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,AveragePooling2D,Flatten,Dense)(1)_layer20 | {"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_110", "scale": true, "trainable": true}, "inbound_nodes": [[["conv2d_172", 0, 0, {}]]], "name": "batch_normalization_110"} |
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Reshape,ZeroPadding2D,Conv2D,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,AveragePooling2D,Flatten,Dense)(1)_layer21 | {"class_name": "Activation", "config": {"activation": "relu", "name": "activation_95", "trainable": true}, "inbound_nodes": [[["batch_normalization_110", 0, 0, {}]]], "name": "activation_95"} |
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Reshape,ZeroPadding2D,Conv2D,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,AveragePooling2D,Flatten,Dense)(1)_layer22 | {"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": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "kernel_size": [1, 1], "name": "conv2d_174", "padding": "same", "strides": [2, 2], "trainable": true, "use_bias": true}, "inbound_nodes": [[["add_31", 0, 0, {}]]], "name": "conv2d_174"} |
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Reshape,ZeroPadding2D,Conv2D,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,AveragePooling2D,Flatten,Dense)(1)_layer23 | {"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": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "kernel_size": [1, 1], "name": "conv2d_173", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_95", 0, 0, {}]]], "name": "conv2d_173"} |
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Reshape,ZeroPadding2D,Conv2D,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,AveragePooling2D,Flatten,Dense)(1)_layer24 | {"class_name": "Add", "config": {"name": "add_32", "trainable": true}, "inbound_nodes": [[["conv2d_174", 0, 0, {}], ["conv2d_173", 0, 0, {}]]], "name": "add_32"} |
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Reshape,ZeroPadding2D,Conv2D,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,AveragePooling2D,Flatten,Dense)(1)_layer25 | {"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_111", "scale": true, "trainable": true}, "inbound_nodes": [[["add_32", 0, 0, {}]]], "name": "batch_normalization_111"} |
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Reshape,ZeroPadding2D,Conv2D,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,AveragePooling2D,Flatten,Dense)(1)_layer26 | {"class_name": "Activation", "config": {"activation": "relu", "name": "activation_96", "trainable": true}, "inbound_nodes": [[["batch_normalization_111", 0, 0, {}]]], "name": "activation_96"} |
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Reshape,ZeroPadding2D,Conv2D,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,AveragePooling2D,Flatten,Dense)(1)_layer27 | {"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": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "kernel_size": [1, 1], "name": "conv2d_175", "padding": "same", "strides": [2, 2], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_96", 0, 0, {}]]], "name": "conv2d_175"} |
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Reshape,ZeroPadding2D,Conv2D,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,AveragePooling2D,Flatten,Dense)(1)_layer28 | {"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_112", "scale": true, "trainable": true}, "inbound_nodes": [[["conv2d_175", 0, 0, {}]]], "name": "batch_normalization_112"} |
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Reshape,ZeroPadding2D,Conv2D,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,AveragePooling2D,Flatten,Dense)(1)_layer29 | {"class_name": "Activation", "config": {"activation": "relu", "name": "activation_97", "trainable": true}, "inbound_nodes": [[["batch_normalization_112", 0, 0, {}]]], "name": "activation_97"} |
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Reshape,ZeroPadding2D,Conv2D,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,AveragePooling2D,Flatten,Dense)(1)_layer3 | {"class_name": "ZeroPadding2D", "config": {"data_format": "channels_last", "name": "zero_padding2d_11", "padding": [[2, 2], [2, 2]], "trainable": true}, "inbound_nodes": [[["reshape_27", 0, 0, {}]]], "name": "zero_padding2d_11"} |
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Reshape,ZeroPadding2D,Conv2D,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,AveragePooling2D,Flatten,Dense)(1)_layer30 | {"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": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "kernel_size": [3, 3], "name": "conv2d_176", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_97", 0, 0, {}]]], "name": "conv2d_176"} |
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Reshape,ZeroPadding2D,Conv2D,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,AveragePooling2D,Flatten,Dense)(1)_layer31 | {"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_113", "scale": true, "trainable": true}, "inbound_nodes": [[["conv2d_176", 0, 0, {}]]], "name": "batch_normalization_113"} |
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Reshape,ZeroPadding2D,Conv2D,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,AveragePooling2D,Flatten,Dense)(1)_layer32 | {"class_name": "Activation", "config": {"activation": "relu", "name": "activation_98", "trainable": true}, "inbound_nodes": [[["batch_normalization_113", 0, 0, {}]]], "name": "activation_98"} |
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Reshape,ZeroPadding2D,Conv2D,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,AveragePooling2D,Flatten,Dense)(1)_layer33 | {"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": 256, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "kernel_size": [1, 1], "name": "conv2d_178", "padding": "same", "strides": [2, 2], "trainable": true, "use_bias": true}, "inbound_nodes": [[["add_32", 0, 0, {}]]], "name": "conv2d_178"} |
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Reshape,ZeroPadding2D,Conv2D,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,AveragePooling2D,Flatten,Dense)(1)_layer34 | {"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": 256, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "kernel_size": [1, 1], "name": "conv2d_177", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_98", 0, 0, {}]]], "name": "conv2d_177"} |
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Reshape,ZeroPadding2D,Conv2D,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,AveragePooling2D,Flatten,Dense)(1)_layer35 | {"class_name": "Add", "config": {"name": "add_33", "trainable": true}, "inbound_nodes": [[["conv2d_178", 0, 0, {}], ["conv2d_177", 0, 0, {}]]], "name": "add_33"} |
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Reshape,ZeroPadding2D,Conv2D,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,AveragePooling2D,Flatten,Dense)(1)_layer36 | {"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_114", "scale": true, "trainable": true}, "inbound_nodes": [[["add_33", 0, 0, {}]]], "name": "batch_normalization_114"} |
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Reshape,ZeroPadding2D,Conv2D,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,AveragePooling2D,Flatten,Dense)(1)_layer37 | {"class_name": "Activation", "config": {"activation": "relu", "name": "activation_99", "trainable": true}, "inbound_nodes": [[["batch_normalization_114", 0, 0, {}]]], "name": "activation_99"} |
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Reshape,ZeroPadding2D,Conv2D,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,AveragePooling2D,Flatten,Dense)(1)_layer38 | {"class_name": "AveragePooling2D", "config": {"data_format": "channels_last", "name": "average_pooling2d_11", "padding": "valid", "pool_size": [8, 8], "strides": [8, 8], "trainable": true}, "inbound_nodes": [[["activation_99", 0, 0, {}]]], "name": "average_pooling2d_11"} |
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Reshape,ZeroPadding2D,Conv2D,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,AveragePooling2D,Flatten,Dense)(1)_layer39 | {"class_name": "Flatten", "config": {"data_format": "channels_last", "name": "flatten_16", "trainable": true}, "inbound_nodes": [[["average_pooling2d_11", 0, 0, {}]]], "name": "flatten_16"} |
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Reshape,ZeroPadding2D,Conv2D,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,AveragePooling2D,Flatten,Dense)(1)_layer4 | {"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": 16, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "kernel_size": [3, 3], "name": "conv2d_166", "padding": "same", "strides": [1, 1], "trainable": false, "use_bias": true}, "inbound_nodes": [[["zero_padding2d_11", 0, 0, {}]]], "name": "conv2d_166"} |
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Reshape,ZeroPadding2D,Conv2D,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,AveragePooling2D,Flatten,Dense)(1)_layer40 | {"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": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": null, "name": "dense_26", "trainable": true, "units": 20, "use_bias": true}, "inbound_nodes": [[["flatten_16", 0, 0, {}]]], "name": "dense_26"} |
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Reshape,ZeroPadding2D,Conv2D,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,AveragePooling2D,Flatten,Dense)(1)_layer5 | {"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": 16, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "kernel_size": [1, 1], "name": "conv2d_167", "padding": "same", "strides": [1, 1], "trainable": false, "use_bias": true}, "inbound_nodes": [[["conv2d_166", 0, 0, {}]]], "name": "conv2d_167"} |
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Reshape,ZeroPadding2D,Conv2D,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,AveragePooling2D,Flatten,Dense)(1)_layer6 | {"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_106", "scale": true, "trainable": true}, "inbound_nodes": [[["conv2d_167", 0, 0, {}]]], "name": "batch_normalization_106"} |
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Reshape,ZeroPadding2D,Conv2D,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,AveragePooling2D,Flatten,Dense)(1)_layer7 | {"class_name": "Activation", "config": {"activation": "relu", "name": "activation_91", "trainable": true}, "inbound_nodes": [[["batch_normalization_106", 0, 0, {}]]], "name": "activation_91"} |
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Reshape,ZeroPadding2D,Conv2D,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,AveragePooling2D,Flatten,Dense)(1)_layer8 | {"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": 16, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "kernel_size": [3, 3], "name": "conv2d_168", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_91", 0, 0, {}]]], "name": "conv2d_168"} |
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Reshape,ZeroPadding2D,Conv2D,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,AveragePooling2D,Flatten,Dense)(1)_layer9 | {"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_107", "scale": true, "trainable": true}, "inbound_nodes": [[["conv2d_168", 0, 0, {}]]], "name": "batch_normalization_107"} |
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Reshape,ZeroPadding2D,Conv2D,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,AveragePooling2D,Flatten,Dense)(1)_verbose | 2 |