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| author | Cameron <cysmith1010@gmail.com> | 2016-11-02 00:35:07 -0600 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2016-11-02 00:35:07 -0600 |
| commit | 8b5e3b0d37c66844d2ba0b50348070f45688c4d9 (patch) | |
| tree | e7988c5dbf13e790bf9002b5a6440133752d1a10 | |
| parent | 86693f0abc1a4420af6470b8ebce35ab3fd308d9 (diff) | |
Update README.md
| -rw-r--r-- | README.md | 6 |
1 files changed, 3 insertions, 3 deletions
@@ -131,7 +131,6 @@ Style can be transferred to semantic segmentations in the content image. </p> Multiple styles can be transferred to the foreground and background of the content image. - <p align="center"> <img src="examples/segmentation/02390.jpg" height="180px"> <img src="examples/segmentation/basquiat.png" height="180px"> @@ -338,7 +337,7 @@ 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 +365,8 @@ python neural_style.py --video \ ## Questions and Errata -Send questions or issues: <img src="examples/equations/email.png"> +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. |