https://github.com/aurelienmorgan/edx-keras-cnn
Image Processing with Convolutional Neural Networks (keras with ‘tensorflow over local GPU’ as a back-end in R)
https://github.com/aurelienmorgan/edx-keras-cnn
Last synced: about 1 year ago
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Image Processing with Convolutional Neural Networks (keras with ‘tensorflow over local GPU’ as a back-end in R)
- Host: GitHub
- URL: https://github.com/aurelienmorgan/edx-keras-cnn
- Owner: aurelienmorgan
- Created: 2019-05-17T11:58:42.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2020-09-09T07:23:01.000Z (almost 6 years ago)
- Last Synced: 2025-02-08T17:09:32.934Z (over 1 year ago)
- Language: R
- Homepage:
- Size: 39.5 MB
- Stars: 2
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Image Processing with Convolutional Neural Networks
## (keras with ‘tensorflow over local GPU’ as a back-end in R)
### Stepping into CNN, one toe at a time
Examples of Image Processing applications of Deep Learning.
View the complete 6 pages PDF report (+ appendices)
here.
files that constitute that repository :
- **Report.Rmd** :
portable rmarkdown script file to generate the report pdf.
REMARK: the 'keras' package isn't required to exectute that Rmd file.
- **algorithm.R** :
source code for the two algorithms described in the report.
- **./images/style_transfer** folder :
from the _'stype transfer'_ section of the report,
'original' content image and 2 'generated' pictures
- **./models** folder
RDS & h5 serialization files for trained models and predictions.
KEYWORDS :
```CNN```, ```Image Classification```, ```Style Transfer```
, ```R```, ```Tensorflow```, ```Keras```