| batch_size | | default: 32 |
| build_fn | | default: {"oml-python:serialized_object": "function", "value": "__main__.functional_api_model"} |
| epochs | | default: 1 |
| layer0 | | default: {"class_name": "InputLayer", "config": {"batch_input_shape": [null, 256], "dtype": "float32", "name": "input_55", "sparse": false}, "inbound_nodes": [], "name": "input_55"} |
| layer1 | | default: {"class_name": "Reshape", "config": {"name": "reshape_70", "target_shape": [16, 16, 1], "trainable": true}, "inbound_nodes": [[["input_55", 0, 0, {}]]], "name": "reshape_70"} |
| layer2 | | default: {"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": 6, "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_127", "padding": "valid", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["reshape_70", 0, 0, {}]]], "name": "conv2d_127"} |
| layer3 | | default: {"class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "name": "max_pooling2d_125", "padding": "valid", "pool_size": [2, 2], "strides": [2, 2], "trainable": true}, "inbound_nodes": [[["conv2d_127", 0, 0, {}]]], "name": "max_pooling2d_125"} |
| layer4 | | default: {"class_name": "Activation", "config": {"activation": "sigmoid", "name": "activation_129", "trainable": true}, "inbound_nodes": [[["max_pooling2d_125", 0, 0, {}]]], "name": "activation_129"} |
| layer5 | | default: {"class_name": "Flatten", "config": {"data_format": "channels_last", "name": "flatten_68", "trainable": true}, "inbound_nodes": [[["activation_129", 0, 0, {}]]], "name": "flatten_68"} |
| layer6 | | default: {"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_233", "trainable": true, "units": 64, "use_bias": true}, "inbound_nodes": [[["flatten_68", 0, 0, {}]]], "name": "dense_233"} |
| layer7 | | default: {"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_234", "trainable": true, "units": 64, "use_bias": true}, "inbound_nodes": [[["dense_233", 0, 0, {}]]], "name": "dense_234"} |
| layer8 | | default: {"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_235", "trainable": true, "units": 10, "use_bias": true}, "inbound_nodes": [[["dense_234", 0, 0, {}]]], "name": "dense_235"} |
| verbose | | default: 1 |