In this chapter we will discuss backpropagation with Unity C# and implement accordingly.
As we have already given a brief introduction to backpropagation in the first chapter, in this chapter we will take it further.
We will use an empty Unity project and then start writing a script for backpropagation.
Going Further into Backpropagation
Backpropagation is used to optimize the weights so that the neural network can learn how to correctly map arbitrary inputs to outputs.