| batch_size | | default: 1000 |
| build_fn | | default: {"oml-python:serialized_object": "function", "value": "__main__.tes_funcapi"} |
| epochs | | default: 1 |
| layer0 | | default: {"class_name": "InputLayer", "config": {"batch_input_shape": [null, 256], "dtype": "float32", "name": "input_13", "sparse": false}, "inbound_nodes": [], "name": "input_13"} |
| layer1 | | 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_799", "trainable": true, "units": 10, "use_bias": true}, "inbound_nodes": [[["input_13", 0, 0, {}]]], "name": "dense_799"} |
| layer2 | | 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_800", "trainable": true, "units": 10, "use_bias": true}, "inbound_nodes": [[["dense_799", 0, 0, {}]]], "name": "dense_800"} |
| verbose | | default: 1 |