The process of training the multilayer neural network may require some trial and error until the final result is achieved. At this moment the results are perhaps not too accurate recognizing knights.
It'd be convenient to use 50,000 samples to train the multilayer neural network rather than 20,000 and compare the results obtained with the current ones. If the results aren't significantly improved, then the sample data may require some tweaking.
This is a few step process as described in the README file.
Remove all files in the testing and the training folders.
The process of training the multilayer neural network may require some trial and error until the final result is achieved. At this moment the results are perhaps not too accurate recognizing knights.
It'd be convenient to use 50,000 samples to train the multilayer neural network rather than 20,000 and compare the results obtained with the current ones. If the results aren't significantly improved, then the sample data may require some tweaking.
This is a few step process as described in the
README
file.Keep it up, and happy learning and coding.