07-22-2024, 07:57 AM
(translated by Google translator)
Hi all.
Today, when I was preparing myself a cup of morning coffee, I suddenly heard the Voices of Our Ancestors (as the North American Indians would say in a Hollywood action movie).
The Ancestor Souls told me that my neural network is having a hard time working because it is using too small a percentage of all the information contained in the three RGB color values.
Indeed, in addition to the distances from the origin of coordinates to the points indicated in each parameter (R, G or B), there is data on the distance of these points between them and on the proportionality values of these distances. Perhaps at the moment I do not see any other existing information that is stored in the values of R, G and B.
That is, I first want to give my neural network ADDITIONAL INFORMATION about the distance between the coordinates R, G and B in order to see what impact this information will have on the accuracy of the neural network.
If the accuracy of the neural network increases significantly and becomes 100 times better than now, then my goal will be achieved.
If the accuracy increases, but is less than what I need, then I will add new information and conduct new tests.
The important thing is that special small neural networks trained for this work will be used to extract additional information.
The main neural network will receive at its inputs data R, G, B and values from the outputs of auxiliary neural networks, which will determine the distance between points R, G and B.
This is my plan.
Hi all.
Today, when I was preparing myself a cup of morning coffee, I suddenly heard the Voices of Our Ancestors (as the North American Indians would say in a Hollywood action movie).
The Ancestor Souls told me that my neural network is having a hard time working because it is using too small a percentage of all the information contained in the three RGB color values.
Indeed, in addition to the distances from the origin of coordinates to the points indicated in each parameter (R, G or B), there is data on the distance of these points between them and on the proportionality values of these distances. Perhaps at the moment I do not see any other existing information that is stored in the values of R, G and B.
That is, I first want to give my neural network ADDITIONAL INFORMATION about the distance between the coordinates R, G and B in order to see what impact this information will have on the accuracy of the neural network.
If the accuracy of the neural network increases significantly and becomes 100 times better than now, then my goal will be achieved.
If the accuracy increases, but is less than what I need, then I will add new information and conduct new tests.
The important thing is that special small neural networks trained for this work will be used to extract additional information.
The main neural network will receive at its inputs data R, G, B and values from the outputs of auxiliary neural networks, which will determine the distance between points R, G and B.
This is my plan.