Creation of SB-Neuron. Ours. Branded.(v2)

[litdev]

And, according to logic, it makes sense to train the second layer to work with the data of the first layer ONLY WHEN the data of the first layer is correct.

I guess it's this assumption that is not right for normal ANN training.  It is a holistic process where all nodes in all layers are treated equally and all are updated for each step by back propagation.

You can't update the first layer without taking account of what the next layer will do.  Why have more than 1 layer otherwise.

I suggest you continue with your strategy, but realise it is conceptually different to classical ANN training.

[AbsoluteBeginner]

...

I suggest you continue with your strategy, but realise it is conceptually different to classical ANN training.

Yes, of course, I understand that.
The whole beauty of my project is that I am exploring an area of knowledge unknown to me. 

And this opportunity was given to me by the wonderful Code Editor "SB-Prime", the magnificent LitDev extension, and the wise simple programming language Small Basic.
It is this set of tools that makes my research easy and fun.
Thanks to everyone who created this set. 

[AbsoluteBeginner]

Since the second layer of neurons does not see the original image on the pixel matrix, but only sees the state of the "output matrix" of the neurons of the first layer, I will try to create the first layer using neurons that have only 9 inputs.
I think that a 3 by 3 pixel matrix will be enough for one neuron of the first layer so that it can confidently recognize any one feature of a figure.

Thus, I had a new task: to create a program in the window of which there will be 2 SB-displays.
The first SB display will show the figure that the first layer of neurons sees.
The second SB display will show the state of the "output matrix" of the first layer of neurons.

I guess it will be a very interesting "picture".