> Would it typically help or disrupt to start > instead with values that are non-random? > What I have in mind concretely:
Can I correctly rephrase your question as: if you take a well-trained komi 7.5 network, then give it komi 5.5 training data, will it adapt quickly, or would it be faster/better to start over from scratch? (From the point of view of creating a strong komi 5.5 program.) (?) Surely it would train much more quickly: all the early layers are about learning liberty counting, atari and then life/death, good shape, etc. (But, it would be fascinating if an experiment showed that wasn't the case, and starting from a fresh random network trained more quickly!) Darren _______________________________________________ Computer-go mailing list [email protected] http://computer-go.org/mailman/listinfo/computer-go
