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: • Neural Networks Pt. 1: Inside the Bla...
The main ideas behind backpropagation: • Neural Networks Pt. 2: Backpropagatio...
Neural networks with multiple inputs and outputs: • Video
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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
