Neural Style Transfer (NST) Using TensorFlow

Demo

TensorFlow

TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications.

Neural Style Transfer

This program will stylize your photos with fast neural style transfer. By the way, Neural style transfer is an optimization technique used to take two images a content image and a style reference image (such as an artwork by a famous painter) and blend them together so the output image looks like the content image, but painted in the style of the style reference image.

Steps :

1 - Install libraries

The libraries used in this project are :

• matplotlib
• numpy
• TensorFlow
• tensorflow_hub
• pillow

2 - Functions

• Load Images
• Visualize Images

3 - Original and Style Images

4 - Arbitrary Image Stylization

Final Step - Exporting the Result

Conclusion

Congrats! We have created a unique artwork using TensorFlow with neural network. Programming is not just about solving problems. We can also use it for fascinating and artistic projects like this one. These kinds of projects helps me a lot to practice new skills. TensorFlow is one of the best when it comes to building machine learning/deep learning projects.

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