Neural Style Transfer : From Theory to Pytorch Implementation

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In this video I'll introduce you to neural style transfer, a cool way to use deep neural network to manipulate photo to yield beautiful automatically generated new photos! This is a fairly lengthy videos so here is the breakdown if you need to move around a bit:

Code can be found here: https://github.com/yacineMahdid/artif...)



Introduction: 0:00:00
Tools: 0:00:32
Resource: 0:01:01
Paper Overview from Leon A. Gatys, Alexander S. Ecker, Matthias Bethge: 0:02:30
Code from Pytorch Documentation Walkthrough: 0:20:23
Conclusion: 0:50:00



Here are the resources used in this video:
A Neural Algorithm of Artistic Style: https://arxiv.org/abs/1508.06576
Wikipedia: https://en.wikipedia.org/wiki/Neural_...

Pytorch Documentation: https://pytorch.org/tutorials/advance...


If you are new to Machine Learning here are some great starting point:
1)https://www.edx.org/professional-cert...
2)https://www.coursera.org/learn/machin...
3)https://developers.google.com/machine...


Final Note: Here I am using Pytorch to code the neural style transfer algorithm, however if you prefer Tensorflow or Keras you can definetly go with that too! A quick google search with Neural Style Transfer will get you all of these cool tutorial in these other framework:
Keras: https://keras.io/examples/neural_styl...
Tensorflow: https://www.tensorflow.org/tutorials/...
You can even do it in real time using OpenCV: https://www.pyimagesearch.com/2018/08...

If you have any question leave them in the comments section, will be glad to answer them!


Music is by Forest Swords and the thumbnail is figure 1 of the paper!


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