Artificial neural networks (ANNs) have been broadly utilized to analyze various data and solve different domain problems. However, neural networks (NNs) have been considered a black box operation for years because their underlying computation and meaning are hidden. Due to this nature, users often face difficulties in interpreting the underlying mechanism of the NNs and the benefits of using them. In this paper, to improve users' learning and understanding of NNs, an interactive learning system is designed to create digit patterns and recognize them in real time. To help users clearly understand the visual differences of digit patterns (i.e., 0 ~ 9) and their results with an NN, integrating visualization is considered to present all digit patterns in a two-dimensional display space with supporting multiple user interactions. An evaluation with multiple datasets is conducted to determine its usability for active learning. In addition, informal user testing is managed during a summer workshop by asking the workshop participants to use the system.

为了改善用户对神经网络的学习和理解，本文设计了一个交互式学习系统，用于实时创建并识别数字模式，并通过可视化技术在二维空间中呈现数字模式的视觉差异和神经网络结果，通过多个数据集的评估和夏季研讨会的非正式用户测试，验证了系统的可用性。

通过交互生成数字模式和视觉表示进行神经网络的主动学习