Run 10559773

Task 360871 (Supervised Classification) PCam Uploaded 09-03-2021 by Prabhant Singh
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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}