In this podcast excerpt, Ritwik Gupta and Carson Sestili describe deep learning and how it differs from machine learning.

“As you compose more and more non-linear functions together, you can represent a much wider function space than you could with just one non-linear function. That is why deep learning is different from shallow learning. Shallow learning doesn’t compose multiple things together. Deep learning does.”