学生在深度神经网络实验工作中的教学过程

L. Docheva, I. Dochev, StoychoVelizarov Manev, Ludvig Lubih
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引用次数: 0

摘要

深度神经网络实现的各种软件可用性使学生能够在广泛的范围内轻松实现不同的任务。在准备使用应用程序的使用中,对于许多深度神经网络的训练阶段都没有涉及到对深度神经网络理论的深入理解。出于这个原因,本文的作者开发了一个练习,让学生尽可能多地参与深度神经网络训练的各个阶段。本文提出了一种基于深度神经网络的远程教学实验室习题过程组织解决方案。学生工作的每个阶段都会被详细审查。并对其远程教育实施的具体情况进行了讨论。
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The Process of Teaching Students in the Deep Neural Network Laboratory Work
The various software availability for deep neural network implementation enables students easy and accessible implementation of different tasks in a wide area range. The ready for use applications using, for many of the deep neural network training stages is not related to a deeper understanding of the deep neural network theory. For this reason, the authors of this paper have developed an exercise with students' participation as many of the stages of the deep neural network training as possible. This paper presents one solution for laboratory exercise process organization in distance learning in deep neural network area. Each stage of the student's work is examined in detail. The specifics of its distance learning implementation are also discussed.
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