Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Different way of defining convolutional structure #19

Closed
schrum2 opened this issue Sep 5, 2017 · 1 comment
Closed

Different way of defining convolutional structure #19

schrum2 opened this issue Sep 5, 2017 · 1 comment
Assignees
@schrum2
Labels
Convolution HyperNEAT

Comments

@schrum2
Copy link
Owner

schrum2 commented Sep 5, 2017

From MM-NEATv2: schrum2/MM-NEATv2#460
@schrum2 schrum2 self-assigned this Sep 5, 2017
schrum2 added a commit that referenced this issue Sep 8, 2017
@schrum2
Fixed error with zero padding?
7c09e36 
I added the command line parameter for #19 but before I could do any
further work with it, I noticed an error that affects how zero padding
is applied. My previous test of zero padding had terrible results, but
fixing this error should change that. It may not be significantly better
than not using zero padding, but it should at least work. I also added a
batch file for testing ... though I'm surprised I didn't already have
one.
schrum2 added a commit that referenced this issue Sep 8, 2017
@schrum2
#19 Integrated convolutionDeltas option
0e99144 
Turning this on should define the CPPN inputs for creating the
convolutional network in the same manner as Verbancsics. This seems to
work fine for networks using separate outputs for each layer pairing,
but actually does not work well (in Tetris) when using substrate
coordinate inputs ... but this is exactly what Verbancsics did! The only
difference I can think of that might be having an impact is the use of
the substrateMapping. Verbancsics used center scaling in all
experiments, but my Tetris substrateMapping goes from top to bottom.
Worth checking.
schrum2 added a commit that referenced this issue Sep 8, 2017
@schrum2
#19 Forcing center scaling doesn't help
594efc7 
Commented section shows how to force center scaling when using
Verbancsics' method, but it didn't really help, so I'll just leave it
the way it was before.
@schrum2
Copy link
Owner Author

schrum2 commented Sep 8, 2017

Completed. This alternate approach performs fine with separate outputs for each linked substrate pair, but not so well when the substrate location coordinates are input, which is actually what Verbancsics did. this is a little odd. Despite this oddity, I'm closing this issue.

@schrum2 schrum2 closed this as completed Sep 8, 2017
@schrum2 schrum2 mentioned this issue Sep 8, 2017
Closed
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees

@schrum2 schrum2

Labels
Convolution HyperNEAT
Projects
None yet
Milestone
No milestone
Development

No branches or pull requests
1 participant
@schrum2