主要介绍了keras load model时出现Missing Layer错误的解决方式，具有很好的参考价值，希望对大家有所帮助。一起跟随小编过来看看吧

问题描述：训练结束后，保存model为hdf5和yaml格式的文件 yamlFilename = os.path.join(dir,filename) yamlModel = model.toyaml() with open(yamlFilename, "w") as yamlFile: yamlFile.write(yamlModel) 随后load model with open(chkptFilename,'r') as f: model_yaml = f.read() model