首页> 外国专利> COOPERATIVELY TRAINING AND/OR USING SEPARATE INPUT AND RESPONSE NEURAL NETWORK MODELS FOR DETERMINING RESPONSE(S) FOR ELECTRONIC COMMUNICATIONS

COOPERATIVELY TRAINING AND/OR USING SEPARATE INPUT AND RESPONSE NEURAL NETWORK MODELS FOR DETERMINING RESPONSE(S) FOR ELECTRONIC COMMUNICATIONS

机译:合作培训和/或使用单独的输入和响应神经网络模型来确定电子通信的响应

摘要

Systems, methods, and computer readable media related to determining one or more responses to provide that are responsive to an electronic communication that is generated through interaction with a client computing device. For example, determining one or more responses to provide for presentation to a user as suggestions for inclusion in a reply to an electronic communication sent to the user. Some implementations are related to training and/or using separate input and response neural network models for determining responses for electronic communications. The input neural network model and the response neural network model can be separate, but trained and/or used cooperatively.
机译:与确定一个或多个要提供的响应有关的系统,方法和计算机可读介质,这些响应对通过与客户端计算设备进行交互而生成的电子通信做出响应。例如,确定一个或多个响应以提供给用户呈现,作为包括在对发送给用户的电子通信的回复中的建议。一些实施方式涉及训练和/或使用单独的输入和响应神经网络模型来确定电子通信的响应。输入神经网络模型和响应神经网络模型可以是分开的,但可以共同训练和/或使用。

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