10-14-2024, 10:04 AM
(This post was last modified: 10-14-2024, 10:06 AM by AbsoluteBeginner.)
LitDev,
I hope that in this message I will be able to describe more precisely the DIFFERENCE between what I want and the neural networks you are talking about.
It seems to me that this difference is that "classical" neural networks are assembled from untrained neurons and the entire network is trained as a whole. For this reason, these neural networks have serious shortcomings.
But I am interested in assembling a neural network, all of whose neurons are ALREADY TRAINED.
That is, training of an already assembled network is not carried out.
And training of individual neurons to solve their simple problems is exactly the style of our Small Basic: simplicity and excellent capabilities.
In general, our SB-Neural Network is a CONSTRUCTION consisting of pre-trained SB-Neurons.
The fact that SB-Neurons are trained in advance allows you to consciously construct a neural network from them that has the necessary capabilities.
(I hope that now I have described everything more clearly )
I hope that in this message I will be able to describe more precisely the DIFFERENCE between what I want and the neural networks you are talking about.
It seems to me that this difference is that "classical" neural networks are assembled from untrained neurons and the entire network is trained as a whole. For this reason, these neural networks have serious shortcomings.
But I am interested in assembling a neural network, all of whose neurons are ALREADY TRAINED.
That is, training of an already assembled network is not carried out.
And training of individual neurons to solve their simple problems is exactly the style of our Small Basic: simplicity and excellent capabilities.
In general, our SB-Neural Network is a CONSTRUCTION consisting of pre-trained SB-Neurons.
The fact that SB-Neurons are trained in advance allows you to consciously construct a neural network from them that has the necessary capabilities.
(I hope that now I have described everything more clearly )