Neural Networks

Neural networks are a complex subject of study so for our understanding I will lay it in simple terms.

In a nutshell, neural networks consist of nodes which can be considered spherical in shape for basic understanding. Imagine all these spheres on a plane surface. The surface that receives the information is called the input layer. A layer is a column of spheres all considered on the same level. The nodes in each layer get activated depending on the input information. The activated nodes are further connected to other nodes in different layer and so on and so forth until a final outcome is reached and that is displayed to the user. See the image below for visual aid.

To draw a corollary, neural networks work in a manner similar to the network formed by the neurons of our brain. Neural networks play an integral role in deep learning about which I will make another post soon.