CNN Explainer – What is a Convolutional Neural Network?

https://poloclub.github.io/cnn-explainer/

A CNN is a neural network: an algorithm used to recognize patterns in data. Neural Networks in general are composed of a collection of neurons that are organized in layers, each with their own learnable weights and biases.

If you have studied neural networks before, these terms may sound familiar to you. So what makes a CNN different? CNNs utilize a special type of layer, aptly named a convolutional layer, that makes them well-positioned to learn from image and image-like data. Regarding image data, CNNs can be used for many different computer vision tasks, such as image processing, classification, segmentation, and object detection.