My question is when creating neural networks, how the machine decides and work out in finding what is the best cell to use? and how does it finally come up with a answer?
It doesn’t. Each cell’s behavior is determined by its random initial weights. From that starting point, each unit learns whatever weights will help minimize the cost.
Oh, thank you 