The main difference between the neural network we built in the previous chapter and a CNN is the convolutional layer. Recall that the neural network was able to learn features related to digits. In order to be more accurate, the neural network layers need to learn more specific features. One way to do this is to add more layers; more layers would lead to more features being learned, giving rise to deep learning.
On a spring evening of 1877, people dressed in what modern-day people would consider as black-tie gathered at the Royal Institute, in London. The speaker for the evening was Francis Galton, the same Galton we met in Chapter 1, How to Solve All Machine Learning Problems. In his talk, Galton brought out a curious ...
