Working of Neural Networks

In my previous blog I discussed a type of network with Human Brain Analogy, how it functions and how it is similar to the Human Brain and also covered various features of Neural Networks- Weights, Sum and Non-Linearity and ended it by classifying some important types of networks. Now lets know the complete working of a Neural Network. These are the main root behind the working of a neural network. Now, lets see all one by one. As you all know, there are some particular inputs on left side which passes through some nodes in the network and gets on the output side, so this movement of information from left side towards the output on right side is called Forward Propagation.