https://github.com/ahmetfurkandemir/deep-learning-11-art-generation-with-neural-style-transfer
Deep Learning(11) - Art generation with Neural Style Transfer
https://github.com/ahmetfurkandemir/deep-learning-11-art-generation-with-neural-style-transfer
Last synced: 6 months ago
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Deep Learning(11) - Art generation with Neural Style Transfer
- Host: GitHub
- URL: https://github.com/ahmetfurkandemir/deep-learning-11-art-generation-with-neural-style-transfer
- Owner: AhmetFurkanDEMIR
- License: other
- Created: 2020-09-23T10:22:35.000Z (about 5 years ago)
- Default Branch: master
- Last Pushed: 2020-09-23T10:48:03.000Z (about 5 years ago)
- Last Synced: 2025-04-15T21:52:18.595Z (6 months ago)
- Language: Jupyter Notebook
- Size: 10.6 MB
- Stars: 14
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README



# Art generation with Neural Style Transfer
**In this assignment, you will:**
* Implement the neural style transfer algorithm
* Generate novel artistic images using your algorithm
Most of the algorithms you've studied optimize a cost function to get a set of parameter values. In Neural Style Transfer, you'll optimize a cost function to get pixel values!
* **If you want to review my previous work :** https://github.com/AhmetFurkanDEMIR/Neural-Style-Transfer




* **References : Convolutional Neural Networks -** https://www.coursera.org/learn/convolutional-neural-networks