An Online Graphical User Interface Application to Remove Barriers in the Process of Learning Neural Networks and Deep Learning Concepts Using Tensorflow

Justin D. Li, Yu Sun
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Abstract

Over the years, neural networks have become increasingly important and complex due to the rising popularity of artificial intelligence technologies. It allows for complex decision prediction making, and is an essential part in the modern AI industry. However, due to the complex nature of neural networks, a lot of complex math and logic has to be well understood along with a proficiency in programming in order for one to make anything practical with this technology. This is unfortunate, however, that many do not have the required high level math skill, or the proficiency in coding, blocking a lot of people from reaching and experimenting with this technology. My method attempts to eliminate the complexity that developing neural networks bring, and bring a clearer picture of what the user may be creating and working with. With the help of modern web technologies such as JavaScript and tensorflow.js, I was able to create a GUI program that can create, train, and test a neural network right on a browser, and without writing any code with a comparable result [13].
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一个在线图形用户界面应用程序,以消除使用Tensorflow学习神经网络和深度学习概念过程中的障碍
多年来,由于人工智能技术的日益普及,神经网络变得越来越重要和复杂。它允许进行复杂的决策预测,是现代人工智能产业的重要组成部分。然而,由于神经网络的复杂性,许多复杂的数学和逻辑必须很好地理解,并熟练地编程,才能使这种技术具有实用性。然而,不幸的是,许多人不具备所需的高水平数学技能,也不精通编码,这阻碍了许多人接触和试验这项技术。我的方法试图消除开发神经网络所带来的复杂性,并更清楚地了解用户可能正在创建和使用的内容。在JavaScript和tensorflow.js等现代web技术的帮助下,我能够创建一个GUI程序,该程序可以在浏览器上创建、训练和测试神经网络,而无需编写任何具有可比结果[13]的代码。
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