Discussing the article: "Neural Network in Practice: Pseudoinverse (I)"
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Check out the new article: Neural Network in Practice: Pseudoinverse (I).
Today we will begin to consider how to implement the calculation of pseudo-inverse in pure MQL5 language. The code we are going to look at will be much more complex for beginners than I expected, and I'm still figuring out how to explain it in a simple way. So for now, consider this an opportunity to learn some unusual code. Calmly and attentively. Although it is not aimed at efficient or quick application, its goal is to be as didactic as possible.
Creating even the simplest neural network is a challenging task in many cases. Here I want to show you how you can create something that will inspire you to explore this topic in more depth. Neural networks have been the subject of research for at least several decades. As mentioned in the three previous articles on artificial intelligence, the topic is much more complex than many people think it to be.
Using a particular function does not mean that our neural network will be better or worse, it just means that we will perform calculations using a particular function. This relates to what we will see in this article today.
Author: Daniel Jose