Through the course of this chapter, we have learned several optimization techniques. These, in combination with several other parameters, can help speed up the learning time of our neural network.
In this section of the chapter, we are going to look at a range of parameters, focus on the parameters that are most likely to produce good results when changed, and learn how to tune these parameters to obtain the the best possible outcome.
Here are the parameters that we have looked at so far:
- Data input normalization: Data input normalization is more of a preprocessing technique than it is a parameter. We mention it on this list because it is, in a manner of speaking, a mandatory step. ...
