How to Visualize Backpropagation in Neural Networks?

The success of many neural networks depends on the backpropagation algorithms using which they have been trained. The backpropagation algorithm computes the gradient of the loss function with respect to the weights of a two-layered single input-output network. These algorithms are hardly comparable but we can compare them when we understand their working. Visualization of the procedure of any algorithm is one of the best ways to understand that algorithm. In this article, we will try to understand some of the backpropagation algorithms by visualizing their work.