Will shares a relatable story about his son's fascination with vehicles to illustrate how deep neural networks learn to classify images. By feeding the network labeled images, it develops a confidence vector that prioritizes its predictions, enabling it to make informed decisions about what it recognizes. This process highlights the intricate relationship between human learning and machine learning.
