Learning the maths for Feed Forward Network

In my last blog we were discussing about the biological motivation on the artificial neural network. This time we will discuss more about the artificial neural network in practice. In ANN we have different layers of networks to solve a problem. For which problem, how many layers required to solve it, is a different topic and will be writing a blog on that soon, however we can still proceed to implementing the network and making it learn to solve the problem. No doubt as programmer we understand code better and pick anything up pretty quickly. ANN also could be learn directly by going through the code, however so far what I feel is that knowing the maths behind the ANN algorithm helps more in understanding the process. So before going to the code I would be discussing about the maths behind it. The below image and all its description are…