Neural Nettwork (ANN) Extension

[AbsoluteBeginner]

Since I am also new to using our ANN, please explain to me what the words "binary data" mean? 

At this point I think that "binary data" consists solely of the logical values "0" and "1".
When working with this type of data, the neural network will not look for a function that allows it to most accurately describe the pattern between input and output data.
At this point, I assume that when working with binary data, the neural network is only trying to teach each of its neurons to accurately identify only one separate combination of input data. That is, the neural network solves the problem of CLASSIFICATION. I think that this is why the output values of such a neural network will always consist only of "0" and "1".

I am very interested in studying the work of Small Basic neural networks.
But you see how slowly I work. It will probably be two or three months before I can study the neural network again. But I really want to know the answer to the question about binary data right now.
Therefore, I ask you to explain the features of the Small Basic neural network now, if anyone already knows this.

Thank you.