@hansvana - Ahhh I had a look and I think I spot the issue.

If all of the values of g are "0" then the normalization runs into some issues which may be leading to the problem that the training isn't occurring.

const data = [
  {r:255, g:0, b:0, color:'red-ish'},
  {r:254, g:0, b:0, color:'red-ish'},
  {r:253, g:0, b:0, color:'red-ish'},
  {r:0, g:0, b:255, color:'blue-ish'},
  {r:0, g:1, b:254, color:'blue-ish'},
  {r:0, g:1, b:253, color:'blue-ish'},
];

This is definitely a bug that we will need to address. Thanks for surfacing this!

from ml5-website.

@hansvana - Ahhh I had a look and I think I spot the issue.

If all of the values of g are "0" then the normalization runs into some issues which may be leading to the problem that the training isn't occurring.

const data = [
  {r:255, g:0, b:0, color:'red-ish'},
  {r:254, g:0, b:0, color:'red-ish'},
  {r:253, g:0, b:0, color:'red-ish'},
  {r:0, g:0, b:255, color:'blue-ish'},
  {r:0, g:1, b:254, color:'blue-ish'},
  {r:0, g:1, b:253, color:'blue-ish'},
];

This is definitely a bug that we will need to address. Thanks for surfacing this!

ml5js/ml5-library#973 (comment)

If the NN expects a string, I think sholud give a notice, or explicit cast.

pull request to change neural-network.md
#ml5js/ml5-library#1010

from ml5-website.