Life lessons from an AI algorithm

In Artificial Intelligence, we usually train a large network of smaller "nodes" (hence the name neural networks) by looking at some sample of the real-world data. These smaller nodes take micro-decisions which in turn affect the micro-decisions of other nodes and so on till it affects the decision of the whole network. There are several algorithms to make this network training better. One of them is called Dropout. Below are some life lessons from Dropout I have personally learnt.