One of the coolest things that Neural Networks can do is classify images, and this is often done with a type of Neural Network called a Convolutional Neural Network (or CNN for short). In this StatQuest, we walk through how Convolutional Neural Networks work, one step at a time, and highlight the main ideas behind filters and pooling.
NOTE: This StatQuest assumes that you are already familiar with...
The main ideas behind neural networks: https://youtu.be/CqOfi41LfDw
The main ideas behind backpropagation: https://youtu.be/IN2XmBhILt4
Neural networks with multiple inputs and outputs: https://youtu.be/83LYR-1IcjA
For a complete index of all the StatQuest videos, check out:
https://statquest.org/video-index/
If you'd like to support StatQuest, please consider...
Patreon: https://www.patreon.com/statquest
...or...
YouTube Membership: https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join
...buying one of my books, a study guide, a t-shirt or hoodie, or a song from the StatQuest store...
https://statquest.org/statquest-store/
...or just donating to StatQuest!
https://www.paypal.me/statquest
Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
https://twitter.com/joshuastarmer
0:00 Awesome song and introduction
1:51 Image classification with a normal Neural Network
4:28 The main ideas of Convolutional Neural Networks
4:59 Creating a Feature Map with a Filter
7:58 Pooling
9:48 Using the Pooled values as input for a Neural Network
11:29 Classifying an image of the letter "X"
13:04 Classifying a shifted image of the letter "X"
#StatQuest #NeuralNetworks #Convolution