AB,
Yes this is a good test, there must be thousands of possible x or o possible and millions of images that are neither.
For me, the first task would be to somehow create a training set and a test test of images that are not the same, there may be some already on the Web somewhere as this is a good example that must have already been attempted. You may even be able to get AI to create them for you.
https://e2eml.school/how_convolutional_n..._work.html
Yes this is a good test, there must be thousands of possible x or o possible and millions of images that are neither.
For me, the first task would be to somehow create a training set and a test test of images that are not the same, there may be some already on the Web somewhere as this is a good example that must have already been attempted. You may even be able to get AI to create them for you.
https://e2eml.school/how_convolutional_n..._work.html