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| author | Cameron <cysmith1010@gmail.com> | 2016-11-01 23:38:30 -0600 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2016-11-01 23:38:30 -0600 |
| commit | 86693f0abc1a4420af6470b8ebce35ab3fd308d9 (patch) | |
| tree | 36d9e8e42046abef9b87c3a87424a25b9b9999fd /README.md | |
| parent | d03c67a4943ba21cb85450b5034b7bd0e7589094 (diff) | |
Update README.md
Diffstat (limited to 'README.md')
| -rw-r--r-- | README.md | 4 |
1 files changed, 2 insertions, 2 deletions
@@ -338,7 +338,7 @@ python neural_style.py --video \ * `--img_name`: Filename of the output image. *Default*: `result` * `--verbose`: Boolean flag indicating if statements should be printed to the console. -#### Optimization Arguments +"#### Optimization Arguments * `--optimizer`: Loss minimization optimizer. L-BFGS gives better results. Adam uses less memory. *Choices*: `lbfgs`, `adam`. *Default*: `lbfgs` * `--learning_rate`: Learning-rate parameter for the Adam optimizer. *Default*: `1e1` * `--max_iterations`: Max number of iterations for the Adam or L-BFGS optimizer. *Default*: `1000` @@ -366,7 +366,7 @@ python neural_style.py --video \ ## Questions and Errata -Send questions or issues: cysmith1010@gmail.com +Send questions or issues: <img src="examples/equations/email.png"> ## Memory By default, `neural-style-tf` uses the NVIDIA cuDNN GPU backend for convolutions and L-BFGS for optimization. |