Deep learning algorithms have grown in popularity over the last decade. Technologies such as self-driving cars, speech recognition, and robotics have improved significantly on account of deep learning algorithms. Deep learning has helped researchers to significantly reduce the number of errors when training models to perform such tasks, and has also surpassed humans in performing certain tasks. However, what is most interesting is that deep learning algorithms are inspired by how human brains work.
Let's take an example of image recognition. We see objects and are able to recognize them based on past experiences of when we saw these objects, or objects like them. However, let's break this process down into what exactly happens. First, light hits the object, enters our eye, and hits the retina. The retina is a sensory membrane that converts...
