© Abhishek Nandy, Manisha Biswas 2018
Abhishek Nandy and Manisha BiswasNeural Networks in Unityhttps://doi.org/10.1007/978-1-4842-3673-4_4

4. Backpropagation in Unity C#

Abhishek Nandy1  and Manisha Biswas2
(1)
Kolkata, West Bengal, India
(2)
North 24 Parganas, West Bengal, India
 

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.

In this ...

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