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METHOD AND APPARATUS OF TRAINING MODEL, ELECTRONIC DEVICE, STORAGE MEDIUM, AND DEVELOPMENT SYSTEM

机译:训练模型,电子设备,存储介质和开发系统的方法和装置

摘要

Embodiments of the present disclosure provide a method and apparatus of training a model, an electronic device, a storage medium and a development system, which relate to a field of deep learning. The method may include calling a training preparation component to set at least a loss function and an optimization function for training the model, in response to determining that a training preparation instruction is received. The method further includes calling a training component to set a first data reading component, in response to determining that a training instruction is received. The first data reading component is configured to load a training data set for training the model. In addition, the method may further include training the model based on the training data set from the first data reading component, by using the loss function and the optimization function through the training component.
机译:本公开的实施例提供了一种训练模型,电子设备,存储介质和显影系统的方法和装置,其涉及深度学习领域。 该方法可以包括响应于确定接收到训练准备指令,调用训练准备组件来设置至少丢失功能和用于训练模型的优化功能。 该方法还包括呼叫训练组件来设置第一数据读取组件,响应于确定接收到训练指令。 第一数据读取组件被配置为加载用于培训模型的训练数据集。 另外,该方法还可以包括通过使用训练组件的丢失功能和优化功能来基于从第一数据读取组件设置的训练数据来训练模型。

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