1. What is Deep Learning?

The heart of deep learning has to do with something call Neural Networks. Neural networks vaguely mimic the process of how the brain operates with neurons that fire bits of information. For example, There's a child playing in the sand with some red an blue shells and we ask the child. Can you draw a line that separates the red and the blue shells? And the child will draw a line.

That's what a neural network does. Given some data in the form of blue or red points, the neural network will look for the best line that separates them. And if the data is a bit more complicated then we'll need a more complicated algorithm. Here, a deep neural network will do the job and find the more complex boundary that separates the points.

If the data is a bit more complicated, then we'll need a more complicated algorithm. Here, a deep neural network will do the job and find the more complex boundary that separates the points.