Neural Networks Part 8: Image Classification with Convolutional Neural Networks (CNNs)

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