10-13-2024, 07:56 AM
(translated by Google translator)
Hello, friends.
I can tell you that I was unable to get sufficiently accurate answers from the SB-Neuron using weight changes on its inputs.
For the second time in a row, I can declare the victory of the "Create an individual activation function" method over the "Change neuron weights" method.
I think that weight changes will only be an auxiliary tool when creating SB-Neurons in the future.
So, in the task "Recognize the image of a "cross" or "zero" on an 11 by 11 pixel matrix" we are ready to begin the next stage of work.
Now we can begin creating a SB-Neural Network that will be able to recognize one fixed version of the "cross" image and one fixed version of the "zero" image in an arbitrary place in the matrix.
We will create a neural network that recognizes an image by "features" later.
Hello, friends.
I can tell you that I was unable to get sufficiently accurate answers from the SB-Neuron using weight changes on its inputs.
For the second time in a row, I can declare the victory of the "Create an individual activation function" method over the "Change neuron weights" method.
I think that weight changes will only be an auxiliary tool when creating SB-Neurons in the future.
So, in the task "Recognize the image of a "cross" or "zero" on an 11 by 11 pixel matrix" we are ready to begin the next stage of work.
Now we can begin creating a SB-Neural Network that will be able to recognize one fixed version of the "cross" image and one fixed version of the "zero" image in an arbitrary place in the matrix.
We will create a neural network that recognizes an image by "features" later.