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authorCameron <cysmith1010@gmail.com>2016-10-11 16:12:21 -0600
committerGitHub <noreply@github.com>2016-10-11 16:12:21 -0600
commit7e62bbfd0b02dc9e56bcc98dd992aa55772cd2f6 (patch)
tree0ae49cd1caab5f444915c762b9587bcb76baaefa
parent43e07cde2b3151e5bd5e4dd70453e4a287cd2f9a (diff)
Modified README
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Send questions or issues: cysmith1010@gmail.com
-If you want to contribute, please try to:
-* Avoid esoteric one-liners.
-* Avoid unnecessary or nested lambda expressions.
-
## Memory
By default, `neural-style-tf` uses the NVIDIA cuDNN GPU backend for convolutions and L-BFGS for optimization.
These produce better and faster results, but can consume a lot of memory. You can reduce memory usage with the following: