生动科学AR vs NeuroVis

生动科学是一个基于AR（增强现实）技术的知识学习平台，包含初中数学、物理、化学、地理、生物、元素、科普七个主题，每个主题都结合课本梳理了上百个知识点，每个知识点都包含3D原理演示、语音讲解、操作互动、考试评测等多元化内容。 科普类内容中包含航空航天、远古生物、古代智慧、自然生命、机械运转、科学人文等多个趣味主题，利用AR增强现实技术，将远古恐龙、航天飞机等知识带到你面前。 生动科学致力于将枯燥知识生动化、抽象原理形象化，为你营造身临其境的沉浸式学习氛围。知识生动清晰，交互丰富有趣，操作简单方便，学习随时随地，知识一看就会。

The hardest part of learning CNNs isn't the math — it's not being able to picture what's actually happening. What exactly happens when the kernel slides across? Why does the feature map look like that? Why does adding one more layer help? Textbooks answer with symbols. NeuroVis shows you. Draw a digit with your finger, and a real CNN classifies it layer by layer in front of you — input tensor, convolution feature maps, activation, max pooling, and the softmax probability for each of the ten digits. Every stroke recomputes the entire chain instantly. Tap any feature map and the kernel sweeps across the input cell by cell, so you can see exactly where each output number comes from. Step through it, pause it, or just read the values off the grid. Wondering what those numbers inside the kernel actually do? Change one and watch the feature map follow. Wondering whether another layer matters? Add it and find out on the spot. And at the end, it tells you why it picked that digit and not another one — which strokes count as evidence, and which argue against it. This isn't a canned animation. It's a real model running on your phone. Fully offline, no data collected. For: students learning deep learning, engineers building intuition, and anyone who has read the formulas but still has no mental picture.