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METHOD AND APPARATUS OF TRAINING MODEL DEVELOPMENT SYSTEM ELECTRONIC DEVICE COMPUTER READABLE STORAGE MEDIUM AND COMPUTER PROGRAM

机译:训练模型开发系统电子设备计算机可读存储介质和计算机程序的方法和装置

摘要

An embodiment of the present disclosure relates to the field of deep learning, and relates to a model training method, an apparatus, a development system, electronic equipment, a computer readable storage medium, and a computer program. The method includes, when it is determined that the training preparation instruction is received, calling the training preparation unit to set at least a loss function and an optimization function for training the model; setting a first data read unit, arranged to call the training unit to load a training data set for training the model when it is determined that the training instruction has been received; and training the model, based on the training data set from the first data read unit, using the loss function and the optimization function through the training unit. The technical solution of the present disclosure can reduce the input code, and can significantly reduce the research and development resource and time cost of the developer.
机译:本公开的一个实施例涉及深度学习领域,并且涉及模型训练方法,装置,开发系统,电子设备,计算机可读存储介质和计算机程序。 该方法包括当确定接收到训练准备指令时,调用训练准备单元至少设置损耗功能和用于训练模型的优化功能; 设置第一数据读取单元,被安排呼叫训练单元以加载训练数据集,用于在确定接收到培训指令时训练模型; 并根据从第一数据读取单元设置的训练数据,使用损失功能和通过训练单元的优化功能来训练模型。 本公开的技术方案可以减少输入代码,并且可以显着降低开发人员的研究和开发资源和时间成本。

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