An overview on different Layers of Artificial Neural Network


Abstract


We know that human brain is the only part of human body that is responsible for the various activities that our body performs. When we decide to do a particular task our brain generates a concept first then it will create an algorithm about how we can perform it. But the bigger question is, "Can we use our brain to do multitask at the same time?" and the answer is no. If we take a closer look to a human brain we will get to know that our brain is made up of individual neuron units, which is a nerve cell which is the basic building block of our nervous system. So if we can replicate the behaviour of a neuron then we can build an Artificial Neural Network (ANN) that can replicate functionality of our human brain. Here I will give a brief idea how it works like we have many processes going in our brain e.g. watching, feeling air on our skin or feeling hungry etc. all these tasks are carried in our brain with the help or different neurons, just like that in ANN there are different nodes which carries different signals in this network with their respective weights, in ANN it calculates its weighted sum and then passes it to function which makes it perform different actions.




Keywords


Artificial Neural Network, Learning, Number Recognition, Pattern Recognition.