Pytorch Neural Style Transfer Tutorial

In this tutorial we go through the essentials of neural style transfer and code it from scratch in Pytorch.

Paper:
https://arxiv.org/abs/1508.06576

Resources (Lectures by Andrew Ng):
https://youtu.be/R39tWYYKNcI (Part 1)
https://youtu.be/ChoV5h7tw5A (Part 2)
https://youtu.be/xY-DMAJpIP4 (Part 3)
https://youtu.be/b1I5X3UfEYI (Part 4)

Also looked at:
https://github.com/yunjey/pytorch-tutorial

People often ask what courses are great for getting into ML/DL and the two I started with is ML and DL specialization both by Andrew Ng. Below you'll find both affiliate and non-affiliate links if you want to check it out. The pricing for you is the same but a small commission goes back to the channel if you buy it through the affiliate link.
ML Course (affiliate): https://bit.ly/3qq20Sx
DL Specialization (affiliate): https://bit.ly/30npNrw
ML Course (no affiliate): https://bit.ly/3t8JqA9
DL Specialization (no affiliate): https://bit.ly/3t8JqA9

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OUTLINE:
0:00 - Introduction
0:49 - Explanation of NST (Neural Style Transfer)
5:21 - Coding NST from scratch
23:00 - Training and Results
23:34 - The reason you're here