neural-network-example

example of general neural network: data, model, code, environment pip install tqdm

progress

currently tested on two type of neural network models. One NN, and one PINN

TODO:

use NN to determine dot array for given picture

the input should be a boundary picture with binary entry and fixed size

the output contain two part: first, whethe a pixel is a dot or not; second, whether two dots are connected.

This should be two NN. could refer to the linear regression

determine whether two dots are connected. But it is not needed in real case.

This should contain in loss function

n_dots_only_in_line

loss function = (n1 +n2)/n_dots_overlapping

for all pixels next to the dot, minimize

list of conditions:

• the dots must be on the boundary
• the dots are evenly distant with each other.
• how to adjust the dot density?

CNN (convolutional) network may be better for image processing.

it uses shared parameters and sparse connnections in graph.

Indeed, this img2dot issue only care about pixels in local region