| batch_size | | default: 1000 |
| build_fn | | default: {"oml-python:serialized_object": "function", "value": "__main__.create_model"} |
| epochs | | default: 1 |
| layer0 | | default: {"class_name": "Reshape", "config": {"batch_input_shape": [null, 256], "dtype": "float32", "name": "reshape_133", "target_shape": [16, 16, 1], "trainable": true}} |
| layer1 | | default: {"class_name": "Conv2D", "config": {"activation": "relu", "activity_regularizer": null, "batch_input_shape": [null, 28, 28, 1], "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "dtype": "float32", "filters": 20, "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_265", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}} |
| layer2 | | default: {"class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "name": "max_pooling2d_265", "padding": "valid", "pool_size": [2, 2], "strides": [2, 2], "trainable": true}} |
| layer3 | | default: {"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": 50, "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_266", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}} |
| layer4 | | default: {"class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "name": "max_pooling2d_266", "padding": "valid", "pool_size": [2, 2], "strides": [2, 2], "trainable": true}} |
| layer5 | | default: {"class_name": "Flatten", "config": {"data_format": "channels_last", "name": "flatten_133", "trainable": true}} |
| layer6 | | default: {"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_265", "trainable": true, "units": 20, "use_bias": true}} |
| layer7 | | default: {"class_name": "Activation", "config": {"activation": "relu", "name": "activation_265", "trainable": true}} |
| layer8 | | default: {"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_266", "trainable": true, "units": 10, "use_bias": true}} |
| layer9 | | default: {"class_name": "Activation", "config": {"activation": "softmax", "name": "activation_266", "trainable": true}} |
| verbose | | default: 1 |