CNN 101: Interactive Visual Learning for Convolutional Neural Networks
This addresses the problem of complexity in deep learning education for learners, though it is incremental as it builds on existing visualization methods.
The authors tackled the challenge of making deep learning accessible to non-experts by developing CNN 101, an interactive visualization system that explains and teaches convolutional neural networks, resulting in a tool that runs locally in web browsers without specialized hardware.
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.