Basic Theory | Neural Style Transfer #2

❤️ Become The AI Epiphany Patreon ❤️ ► https://www.patreon.com/theaiepiphany ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ The second video in the neural style transfer series! 🎨 You'll learn about: ✔️ The basic theory behind how neural style transfer works ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ I hope the video provides you with a strong basic intuition and understanding, but for those of you who want to take it further here are some additional materials relevant to this video: papers ► ✔️(original NST paper, arxiv, old) https://arxiv.org/pdf/1508.06576.pdf ✔️(original NST paper, CVPR, new) https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Gatys_Image_Style_Transfer_CVPR_2016_paper.pdf blogs/articles ► ✔️ History of style transfer (3 part blog series by Adobe's Aaron Hertzmann) https://research.adobe.com/news/image-stylization-history-and-future/ ✔️Nice overview of fast NST algorithms https://www.fritz.ai/style-transfer/ Note: It seems that YouTube's video transcoding process messed up the intro and outro NST clips - they look much nicer and higher quality on my machine. ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ ⌚️ Timetable: 00:00 - intro & NST series overview 02:25 - what I want this series to be 03:30 - defining the task of NST 04:01 - 2 types of style transfer 04:43 - a glimpse of the image style transfer history 06:55 - explanation of the content representation 10:10 - explanation of the style representation 14:12 - putting it all together (animation) [Credits] Music: https://www.youtube.com/watch?v=J2X5mJ3HDYE [NCS] [Credits] Images: Found the useful Gram matrix intuition image in this blog: https://towardsdatascience.com/light-on-math-machine-learning-intuitive-guide-to-neural-style-transfer-ef88e46697ee ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 💰 BECOME A PATREON OF THE AI EPIPHANY ❤️ If these videos, GitHub projects, and blogs help you, consider helping me out by supporting me on Patreon! The AI Epiphany ► https://www.patreon.com/theaiepiphany One-time donations: https://www.paypal