'_Data_1': DataData_Data_1(),
'_Reshape_1': ProcessReshape_Reshape_1(),
'_Convolution_1': DeepLearningConv_Convolution_1(),
'_Data_2': DataData_Data_2(),
'_Fully_Connected_1': DeepLearningFC_Fully_Connected_1(),
'_OneHot_1': ProcessOneHot_OneHot_1(),
'_Normal_1': TrainNormal_Normal_1(),
('_Data_1', '_Reshape_1'),
('_Reshape_1', '_Convolution_1'),
('_Convolution_1', '_Fully_Connected_1'),
('_Data_2', '_OneHot_1'),
('_Fully_Connected_1', '_Normal_1'),
('_OneHot_1', '_Normal_1'),
graph_builder = GraphBuilder()
graph = graph_builder.build(layers, edges)
iterator = graph.training_nodes[0].layer_instance.run(graph)
while result is not sentinel:
result = next(iterator, sentinel)