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Computing Processes of Recurrent Neural Network at Different Layers

机译:不同层经常性神经网络的计算过程

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For researchers, writing their own program to simulate the concept of model of design is mostly essential. Computing processes at different stages of Neural Network (NN) are discussed in this introductory tutorial. In NN, two types of computing are performed, Feed Forward and Feed Back processing. Sometimes, Feed Back computing is known as Recurrent Neural Network (RNN). Here, updating of weight values required for RNN is discussed in viewpoint of programming of simulation of any new model.
机译:对于研究人员来说,编写自己的程序来模拟设计模型的概念大多是必不可少的。在该介绍教程中讨论了神经网络(NN)不同阶段的计算过程。在NN中,执行两种类型的计算,馈送前进和反馈处理。有时,饲料回计算被称为经常性神经网络(RNN)。这里,在对任何新模型的模拟的编程的观点来看,讨论了RNN所需的重量值的更新。

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