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

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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