03. Overview of Modeling

Why Neural Networks?

Neural networks are made up of neurons, sometimes called nodes. One neuron is responsible for processing some input data and producing an output. This is modeled after the neurons in our brain, which process input signals and produce output signals. For a neural network that processes visual data, such as a set of images, these inputs will be either spatial information or color information. When these color components or shapes are combined, which happens inside a neuron in the form of an equation (ex. 0.5red and 0.5blue = 1*purple), it produces an output signal that can do something like help classify the initial input!

This explanation and the below gif, were taken from Cezanne Camacho's blog post on neural networks