Understanding Convolutions

w從2次丢下一個球，要求距離和固定來解釋褶積

http://colah.github.io/posts/2014-07-Understanding-Convolutions/

Understanding Convolutions

Posted on July 13, 2014

neural networks, convolutional neural networks, convolution, math, probability

In a previous post, we built up an understanding of convolutional neural networks, without referring to any significant mathematics. To go further, however, we need to understand convolutions.

If we just wanted to understand convolutional neural networks, it might suffice to roughly understand convolutions. But the aim of this series is to bring us to the frontier of convolutional neural networks and explore new options. To do that, we’re going to need to understand convolutions very deeply.

Thankfully, with a few examples, convolution becomes quite a straightforward idea.