# ML Club Video: Convolutional Neural Networks!
Date: 2023-11-18
Tags: Computer Vision, Convolutional Neural Networks

When you look at a face, what do you see? You see eyes, ears, a nose, and other facial features. When a computer normally looks at a photo of a face, it sees pixels – individual blocks of color arranged in an organized array. But this method isn’t as effective as our “human” method is – even from a deep-learning perspective. Therefore, we use Convolutional Neural Networks (CNNs) – which use sliding windows – to pick up on *features* rather than *pixels,* and to find relationships *between* different parts of the image to make their prediction.

These CNNs are used everywhere – they are the very foundation of today’s computer vision models, being used in applications from facial recognition to self-driving cars!

![Diagram of the VGG-16 CNN architecture, showing an input cat photo passing through stacked convolution, max pooling, and fully connected layers](/assets/images/2023/11/image.png)
<figcaption>image from <a href="https://learnopencv.com/understanding-convolutional-neural-networks-cnn/">learnopencv.com</a></figcaption>


# There is an amazing website that explains all about CNNs – here it is! 
# [**https://poloclub.github.io/cnn-explainer/**](https://poloclub.github.io/cnn-explainer/)

**More interested? Watch the ML Club video below!**

[Interactive: Interactive visualization](https://www.youtube.com/embed/E1jnstgA00M)