模型确定的方法、装置及模型开发系统
本申请公开了一种模型确定的方法、装置及模型开发系统。其中,该方法包括:接收目标对象的模型配置请求,其中,模型配置请求中包括多个封装的神经网络层组件的信息;将多个神经网络层组件进行组合,得到神经网络模型;获取与神经网络模型对应的训练数据和训练参数;采用训练数据和训练参数对神经网络模型进行训练,得到目标模型。本申请解决了在工业部署和快速原型开发中,相关技术需要编写大量代码来完成深度学习模型的组装、参数配置及训练等,导致开发效率低下的技术问题。
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