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Coursera - CNN Programming Assignment: In this project we will 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

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Art-Generation-with-Neural-Style-Transfer

Coursera - CNN Programming Assignment

Disclaimer:

The given solutions in this project are only for reference purpose.

Description of experiment

Welcome! In this lab assignment, we will learn about Neural Style Transfer, an algorithm created by Gatys et al. (2015).

Upon completion of this assignment, we will be able to:

  1. Implement the neural style transfer algorithm
  2. Generate novel artistic images using your algorithm
  3. Define the style cost function for Neural Style Transfer
  4. Define the content cost function for Neural Style Transfer
  5. Most of the algorithms you've studied optimize a cost function to get a set of parameter values. With Neural Style Transfer, we'll get to optimize a cost function to get pixel values. Exciting!

Acknowledgements

https://www.coursera.org/learn/convolutional-neural-networks

https://www.deeplearning.ai/program/deep-learning-specialization/

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Coursera - CNN Programming Assignment: In this project we will 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

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