10-14-2024, 08:33 AM
(translated by Google translator)
Hello, friends.
This is what I think about all the time.
From the very beginning of my study of the SmallBasicANN extension, I really didn't like the fact that the structure of the neural network had to be selected experimentally.
I wanted to be able to precisely DESIGN the neural network, like electrical circuits are designed.
I wanted to be able to first train a neuron the way I needed, and then place it in the neural network where I needed it according to my plan.
Now that we have very high-quality SB-Neurons that do not require preliminary data preparation for their operation, I feel very free.
It's as if my hands have been untied.
I have the ability to PLAN how the process will proceed in the SB-Neural Network I created.
In addition, I am confident in the high accuracy of the data that each of my SB-Neurons produces.
So I will solve the problem of "Recognize the image of a "cross" or "zero" on a matrix of 11 by 11 pixels" NOT as a passive observer who simply tests random structures of a neural network and waits for some structure to be able to work. Now I will ASSEMBLE a SB-Neural Network from pre-trained SB-Neurons, like a LEGO user assembles his model from parts of a strictly defined shape.
And you, what do you think?..
Hello, friends.
This is what I think about all the time.
From the very beginning of my study of the SmallBasicANN extension, I really didn't like the fact that the structure of the neural network had to be selected experimentally.
I wanted to be able to precisely DESIGN the neural network, like electrical circuits are designed.
I wanted to be able to first train a neuron the way I needed, and then place it in the neural network where I needed it according to my plan.
Now that we have very high-quality SB-Neurons that do not require preliminary data preparation for their operation, I feel very free.
It's as if my hands have been untied.
I have the ability to PLAN how the process will proceed in the SB-Neural Network I created.
In addition, I am confident in the high accuracy of the data that each of my SB-Neurons produces.
So I will solve the problem of "Recognize the image of a "cross" or "zero" on a matrix of 11 by 11 pixels" NOT as a passive observer who simply tests random structures of a neural network and waits for some structure to be able to work. Now I will ASSEMBLE a SB-Neural Network from pre-trained SB-Neurons, like a LEGO user assembles his model from parts of a strictly defined shape.
And you, what do you think?..