论文标题
CNN 101：卷积神经网络的交互式视觉学习
CNN 101: Interactive Visual Learning for Convolutional Neural Networks
论文作者
论文摘要
深度学习解决以前的硬性问题的成功激发了许多非专家学习和理解这一令人兴奋的技术。但是，由于深度学习模型的复杂性，学习者通常要采取第一步是具有挑战性的。我们介绍了正在进行的工作，CNN 101，这是一种交互式可视化系统，用于解释和教授卷积神经网络。通过紧密整合的交互视图，CNN 101提供了模型如何工作的概述和详细描述。 CNN 101使用现代网络技术建造，在用户网络浏览器中本地运行，而无需专门的硬件，从而扩大了公众对现代深度学习技术的教育。
The success of deep learning solving previously-thought hard problems has inspired many non-experts to learn and understand this exciting technology. However, it is often challenging for learners to take the first steps due to the complexity of deep learning models. We present our ongoing work, CNN 101, an interactive visualization system for explaining and teaching convolutional neural networks. Through tightly integrated interactive views, CNN 101 offers both overview and detailed descriptions of how a model works. Built using modern web technologies, CNN 101 runs locally in users' web browsers without requiring specialized hardware, broadening the public's education access to modern deep learning techniques.
