I was inspired to make these videos by this specialization: https://bit.ly/3SqLuA6

In this video we look at some of the impressive applications of GANs and really understand why these networks are awesome. We also understand and explain how GANs work and try to dissect the loss function which will together build a foundation so that we can start implementing these networks in upcoming videos.

GitHub Repository:
https://github.com/aladdinpers....son/Machine-Learning

GAN Playlist:
https://youtube.com/playlist?l....ist=PLhhyoLH6IjfwIp8

PyTorch Playlist:
https://www.youtube.com/playli....st?list=PLhhyoLH6Ijf

OUTLINE:
0:00 - Introduction
0:49 - Why GANs are awesome
4:53 - How GANs work
11:45 - Ending

„Pictures in Motion“ is an Austrian time-lapse movie completely produced in the Austrian state „Carinthia“. Uncountable hours of work were necessary to make this project real. Now I am proud to show you the beauty of my small european home country in my time lapse movie.

Produced by Michael Stabentheiner:
www.michaelstabentheiner.at

The soundtrack has been composed especially for this video by the Austrian composer Andreas Hoppe.
Soundcloud: soundcloud.com/film-composer-andy-hoppe

Locations:
0:00 Pörtschach/Wörthersee
0:12 Wodmaier/Lesachtal
0:21 Ebenthaler Wasserfall
0:28 Magdalensberg
0:37 Dobratsch
0:45 Magdalensberg
1:00 Pörtschach/Wörthersee
1:11 Taborhöhe/Faaker See
1:15 Wörthersee
1:31 Dobratsch
1:43 Pyramidenkogel
1:48 Wörthersee
1:57 Klagenfurt
2:08 Wodmaier/Lesachtal
2:12 Wörthersee
2:20 Dobratsch
2:48 Wodmaier/Lesachtal
2:53 Dobratsch
2:57 Wodmaier/Lesachtal
3:01 Klagenfurt

---------------------------------------------------------------------------------------
Website: ms-photography.net/
Vimeo: vimeo.com/michaelstabentheiner
Facebook: facebook.com/msphoto.austria
Google+: plus.google.com/101163341054929669293

For license requests just go in contact with me: [email protected]

Can we make neural networks using light? From spatial light modulators to phase-change materials, we're diving into optical neural networks. Sign up for CuriosityStream and Nebula at https://curiositystream.com/jordan to get access to the next journal club on optical neural networks!

Twitter - http://twitter.com/jordanbharrod

Instagram - http://www.instagram.com/jordanbharrod

MY GEAR (Affiliate Link): https://www.amazon.com/shop/jordanharrod

For business inquiries, contact [email protected]

Sources:

Cheng, T. Y., Chou, D. Y., Liu, C. C., Chang, Y. J., & Chen, C. C. (2019). Optical neural networks based on optical fiber-communication system. Neurocomputing, 364, 239–244. https://doi.org/10.1016/j.neucom.2019.07.051

Sui, X., Wu, Q., Liu, J., Chen, Q., & Gu, G. (2020). A review of optical neural networks. IEEE Access, 8, 70773–70783. https://doi.org/10.1109/ACCESS.2020.2987333

Zhou, T., Fang, L., Yan, T., Wu, J., Li, Y., Fan, J., … Dai, Q. (2020). In situ optical backpropagation training of diffractive optical neural networks. Photonics Research, 8(6), 940. https://doi.org/10.1364/prj.389553

Lin, X., Rivenson, Y., Yardimci, N. T., Veli, M., Luo, Y., Jarrahi, M., & Ozcan, A. (2018). All-optical machine learning using diffractive deep neural networks. Science, 361(6406), 1004–1008. https://doi.org/10.1126/science.aat8084

Lu, T. T. (1990). Self-organizing optical neural network for unsupervised learning. Optical Engineering, 29(9), 1107. https://doi.org/10.1117/12.55702

Casasent, D. P., & Barnard, E. (1990). Adaptive-clustering optical neural net. Applied Optics, 29(17), 2603. https://doi.org/10.1364/ao.29.002603

Abu-Mostafa, Y., & Psaltis, D. (1987). Optical Neural Computers. Scientific American, 256(3). https://doi.org/10.2307/24979343

Wilson, C. L., Watson, C. I., & Paek, E. G. (2000). Effect of resolution and image quality on combined optical and neural network fingerprint matching. Pattern Recognition, 33(2), 317–331. https://doi.org/10.1016/S0031-3203(99)00052-7

Lee, L.-S., Stoll, H. M., & Tackitt, M. C. (1989). Continuous-time optical neural network associative memory. Optics Letters, 14(3), 162. https://doi.org/10.1364/ol.14.000162

Bergeron, A., Arsenault, H. H., Eustache, E., & Gingras, D. (1994). Optoelectronic thresholding module for winner-take-all operations in optical neural networks. Applied Optics, 33(8), 1463. https://doi.org/10.1364/ao.33.001463

Caulfield, H. J., Kinser, J., & Rogers, S. K. (1989). Optical Neural Networks. Proceedings of the IEEE, 77(10), 1573–1583. https://doi.org/10.1109/5.40669

Shariv, I., & Friesem, A. A. (1989). All-optical neural network with inhibitory neurons. Optics Letters, 14(10), 485. https://doi.org/10.1364/ol.14.000485

https://qz.com/852770/theres-a....-limit-to-how-small-

https://ieeexplore.ieee.org/document/9064516

https://www.nature.com/articles/s41586-019-1157-8

https://iopscience.iop.org/art....icle/10.1088/2040-89

https://www.osapublishing.org/....optica/abstract.cfm?

https://pixabay.com/videos/cas....tle-church-tower-cit

https://pixabay.com/videos/lig....hts-blinking-abstrus

FCC: This video is sponsored by CuriosityStream

There has been a TON of news coming out of CES 2020 about 8K TVs, but do you really need to think about upgrading? Will 8K Blu-ray ever be a reality? What differences will you notice between 4K and 8K?

Let’s answer all of these questions and more in this video, and decide whether or not you need to worry about upgrading to 8K anytime soon.

Sources:

https://www.inputmag.com/featu....res/for-the-love-of-

https://youtu.be/4I5Q3UXkGd0

https://www.cnet.com/google-am....p/news/8k-tv-what-yo

https://www.whathifi.com/advic....e/8k-tv-everything-y

Viewing Distance Calculator:
https://carltonbale.com/home-t....heater/home-theater-

Follow me!
http://www.instagram.com/films_at_home

Films At Home Merch Store:
https://filmsathome.myspreadshop.com/

My Home Theater:
Blu-ray shelves: https://amzn.to/2GtIaAP
AV Receiver: https://amzn.to/2IHIMnB
4K Projector: https://amzn.to/2PA84bD
Projector Screen: https://amzn.to/2PHJYtW
Home Theater Seating: https://amzn.to/2LiPncr