Run 10227918

Task 146825 (Supervised Classification) Fashion-MNIST Uploaded 02-05-2019 by Adrian-Stefan Mares
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads

Issue	#Downvotes for this reason	By

Flow

keras.engine.sequential.Sequential.5F750FE4F9E4AAE0(1)	Automatically created keras flow.
keras.engine.sequential.Sequential.5F750FE4F9E4AAE0(1)_backend	"tensorflow"
keras.engine.sequential.Sequential.5F750FE4F9E4AAE0(1)_layer0_batch_normalization_7	{"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_7", "scale": true, "trainable": true}}
keras.engine.sequential.Sequential.5F750FE4F9E4AAE0(1)_layer1_reshape_1	{"class_name": "Reshape", "config": {"name": "reshape_1", "target_shape": [28, 28, 1], "trainable": true}}
keras.engine.sequential.Sequential.5F750FE4F9E4AAE0(1)_layer2_conv2d_1	{"class_name": "Conv2D", "config": {"activation": "relu", "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": [5, 5], "name": "conv2d_1", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}}
keras.engine.sequential.Sequential.5F750FE4F9E4AAE0(1)_layer3_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.5F750FE4F9E4AAE0(1)_layer4_conv2d_2	{"class_name": "Conv2D", "config": {"activation": "relu", "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": [5, 5], "name": "conv2d_2", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}}
keras.engine.sequential.Sequential.5F750FE4F9E4AAE0(1)_layer5_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.5F750FE4F9E4AAE0(1)_layer6_flatten_1	{"class_name": "Flatten", "config": {"data_format": "channels_last", "name": "flatten_1", "trainable": true}}
keras.engine.sequential.Sequential.5F750FE4F9E4AAE0(1)_layer7_dense_27	{"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_27", "trainable": true, "units": 1024, "use_bias": true}}
keras.engine.sequential.Sequential.5F750FE4F9E4AAE0(1)_layer8_dropout_21	{"class_name": "Dropout", "config": {"name": "dropout_21", "noise_shape": null, "rate": 0.4, "seed": null, "trainable": true}}
keras.engine.sequential.Sequential.5F750FE4F9E4AAE0(1)_layer9_dense_28	{"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_28", "trainable": true, "units": 10, "use_bias": true}}
keras.engine.sequential.Sequential.5F750FE4F9E4AAE0(1)_name	"sequential_7"