09-30-2024, 12:49 PM
(translated by Google translator)
Hi all.
I wanted to try to create a SB-Neural Network for the task of converting pixel color from RGB to HSL.
To begin with, I selected only the "H" parameter for the neural network output.
I plotted the required activation function for the case when no preliminary preparation of the input data is carried out.
My mouth dropped open in surprise when I saw this graph.
I posted two screenshots on my OneDrive so that people who want to can take a look.
https://1drv.ms/f/s!AnoSlTzMqlL6jNx6H4Qi...w?e=8D73FE
The screenshots show the same graph, but with different scales on the X-axis.
The first screenshot shows one of the thirty-two sections of the chart.
The second screenshot already shows the 4 very first such sections.
I wonder how much memory you wouldn't mind allocating to store the activation function of a neural network that can perform such a conversion with sufficient quality?
Hi all.
I wanted to try to create a SB-Neural Network for the task of converting pixel color from RGB to HSL.
To begin with, I selected only the "H" parameter for the neural network output.
I plotted the required activation function for the case when no preliminary preparation of the input data is carried out.
My mouth dropped open in surprise when I saw this graph.
I posted two screenshots on my OneDrive so that people who want to can take a look.
https://1drv.ms/f/s!AnoSlTzMqlL6jNx6H4Qi...w?e=8D73FE
The screenshots show the same graph, but with different scales on the X-axis.
The first screenshot shows one of the thirty-two sections of the chart.
The second screenshot already shows the 4 very first such sections.
I wonder how much memory you wouldn't mind allocating to store the activation function of a neural network that can perform such a conversion with sufficient quality?