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#该模块为整个回归系统的回归器。分为4个部分,分别是:数据处理、Resnet搭建、网络训练、模型预测。 | ||
#该模块为整个回归系统的回归器。分为4个部分,分别是:数据处理、Resnet搭建、网络训练、模型预测 | ||
##模块的主要功能为: | ||
-(1)从本地目录获取所有清洗好的数据,将数据按照Resnet的要求加载到内存。 | ||
-(2)对数据自动分为训练数据和预测数据,其中训练数据喂入Resnet进行模型训练。 | ||
-(3)对训练好的模型进行预测结果的输出。 | ||
-(4)支持断点续训,训练过程中模型会每10轮保存一次,可以自由跳转到已经保存好的模型进行继续训练或者模型输出。 | ||
-(5)支持迁移学习。即利用已经训练好的模型训练新的场景,提高训练的效率和降低对样本数量的需求。 | ||
-(5)支持迁移学习。即利用已经训练好的模型训练新的场景,提高训练的效率和降低对样本数量的需求。 |