#8k #china #hdr
I inserted a lot of useful information into subtitles to make watching my films more enjoyable.
Please click on CC button to activate subtitles and to choose from different languages available.

This film was created for educational, entertainment and informative purposes.
Some footage have been originally recorded in 8K resolution and some in 4K. I upscaled all 4K footage to 8K resolution, resulting something new.
This film was re-edited in HDR10 standard and color corrected (high color correction , color grading , adjusted the blacks, adjusted the highlights and the saturation).
To watch this video in real HDR, you should use a HDR television set.

If you want to know more about my films, then you can access:
My Website: https://8kvideoshdr.com
Facebook: https://www.facebook.com/8kvideoshdr/

There are a lot of interesting facts that you probably didn’t know.
Shanghai is a financial and cultural hub for the entire world. Shanghai has the longest metro system in the world with 644 km of tunnels and track.
"The Pearl of Asia" and "The Paris of the East" are two nicknames for Shanghai.
Hong Kong is famous for many towering skyscrapers. The tallest skyscraper in Hong Kong is The International Commerce Center. Hong Kong is recognized as the crossroads of East and West.
Hangzhou is a famous tourist destination in this country. One of China's seven historic capitals is Hangzhou. Hangzhou has been known as "Capital of Tea" since ancient times.
Chapters:
0:00-0:10 Intro
0:11-0:31 Shanghai
0:32-0:48 Hong Kong
0:49-1:01 Shanghai
1:02-2:17 Hangzhou, Zhejiang province
2:18-3:47 Hong Kong
3:48-4:20 Hangzhou, Zhejiang province
4:21-4:32 Suzhou, Jiangsu Province
4:33-4:38 Village, South China
4:39-4:48 Li River, Guangxi Province
4:49-5:02 Huangshan Mountain, Anhui Province
5:03-5:18 Great Wall
5:19-5:28 Hong Kong
5:29-5:35 Chinese clothes
5:36-5:45 Yu Garden, Shanghai
5:46-5:52 Hong Kong traffic
5:53-6:25 Shanghai traffic

Music:
Path Of The Fireflies by AERØHEAD
Somewhere Down The Line by AERØHEAD
https://soundcloud.com/aerohead/
Thumbnail image by Jeremy Zhu

Thanks for watching! Please do not forget to like, comment and subscribe.

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

In this video we implement WGAN and WGAN-GP in PyTorch. Both of these improvements are based on the loss function of GANs and focused specifically on improving the stability of training.

Resources and papers:
https://www.alexirpan.com/2017..../02/22/wasserstein-g
https://arxiv.org/abs/1701.07875
https://arxiv.org/abs/1704.00028

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
0:27 - Understanding WGAN
6:53 - WGAN Implementation details
9:15 - Coding WGAN
15:50 - Understanding WGAN-GP
18:48 - Coding WGAN-GP
25:29 - Ending

Text-based tutorial and sample code: https://pythonprogramming.net/....autoencoders-tutoria

Neural Networks from Scratch book: https://nnfs.io

Channel membership: https://www.youtube.com/channe....l/UCfzlCWGWYyIQ0aLC5
Discord: https://discord.gg/sentdex
Reddit: https://www.reddit.com/r/sentdex/
Support the content: https://pythonprogramming.net/support-donate/
Twitter: https://twitter.com/sentdex
Instagram: https://instagram.com/sentdex
Facebook: https://www.facebook.com/pythonprogramming.net/
Twitch: https://www.twitch.tv/sentdex

CHROMA GALAXIES is the total of my expertise in designing landscapes and otherworldly sceneries with paint. Following the script of creativeblack from Giantstep, I shot a total of almost 35 Terabytes in 8K Raw Video over a period of 8 months, including the complete set of inks and fluids, macro lenses, lights and motion control. All scenes were created on paper.

The visuals are accompanied by a composition from Tristan Barton. Find out more about his outstanding work here: https://www.tristanbartonmusic.com/

_________________________________________________________
+++ My Channel: https://www.youtube.com/channe....l/UCjcjr8OhwzA1cvG_1 +++
+++ My Instagram: https://www.instagram.com/romandegiuli +++
+++ My Facebook: http://www.facebook.com/terracollage +++
+++ My Website: http://www.terracollage.com +++
_________________________________________________________

CHROMA GALAXIES is available for licensing in 4K and 8K, both SDR and HDR.

Fluid Art: Roman De Giuli
Music: Tristan Barton
Concept: Giantstep // Creative Black // Soyoung Kim
Production: Terracollage
Assistant: Daniel Augustin

Many thanks to all people who have been involved in this project!

Terracollage // Experimental Fluid Art and Macro Cinematography // Licensing // Production // 8K // HDR

http://www.terracollage.com
http://www.facebook.com/terracollage
http://www.instagram.com/romandegiuli

#8k #hdr #colors

Iceland is one of the most scenic countries in the world. Enjoy this 4K relaxation film across the Iceland's most beautiful regions. From endless waterfalls to the vibrant volcanic terrain, Iceland's landscapes have so much to offer.

My other Relaxation films:

Switzerland Relaxation Film 4K - https://youtu.be/LQuLAbG62vY

Norway Relaxation Film 4K - https://youtu.be/CxwJrzEdw1U

Nordics Relaxation Film 4K - https://youtu.be/f5rZ6VYHAgo

Scotland Relaxation Film 4K - https://youtu.be/Mc7XKiNrHQc

Alps Relaxation Film 4K - https://youtu.be/3PZ65s2qLTE

Madeira FPV Relaxation Film 4K - https://youtu.be/VukLV0AoeFA

Winter Relaxation Film 4K - https://youtu.be/l4VEQpBcOgA

Faroe Islands Relaxation Film 4K - https://youtu.be/xl4c2yAVAd4

Hawaii Relaxation Film 4K - https://youtu.be/MxcJtLbIhvs

Where I get my music - http://share.mscbd.fm/shirleyfilms
Great Place for Stock footage - https://bit.ly/38b1EJH
Free stock footage, guides & luts - https://sellfy.com/ryanshirley
My Camera Gear - https://www.amazon.com/shop/ryanshirley

► Subscribe to DRJ Records Cineplex: https://bit.ly/3zNQNjt

The movie story deals with Ram and Lakshman a.k.a Lucky both are brothers. Ram is a sincere guy who grows up to become an honest cop. Lucky is a happy-go-lucky guy who enjoys life. Ram and Lucky have a tom and jerry kind of fight going on. Siva Reddy is a factionist who wants to become a politician. Ram gathers evidence against Siva Reddy and Lucky unintentionally intercepts them. The rest of the story is all about the race between Lucky and Siva Reddy.

Movie:- Main Hoon Lucky The Racer (Race Gurram)
Starcast:- Allu Arjun, Shruti Haasan, Prakash Raj, Ravi Kishan
Directed by:- Surender Reddy
Music by:- S. Thaman
Label: DRJ Records

Welcome to DRJ Records Youtube Channel, the #1 destination for premium entertainment videos. Enjoy the blockbuster all languages Full movies, scenes, songs, & more.

Enjoy & stay connected with us!
► Subscribe to DRJ Records - https://goo.gl/Fs6kK5
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Deeplearning4j is one of the few libraries that allows you to train your net over a distributed, multi-node cluster. The library provides an Iterative Map-Reduce procedure as well as a set of tools for configuring a Deep Net using hyper-parameters.

Deep Learning TV on
Facebook: https://www.facebook.com/DeepLearningTV/
Twitter: https://twitter.com/deeplearningtv

The Deeplearning4j Java library was created by Adam Gibson in response to the lack of distributed, multi-node capabilities in other Deep Net libraries. Deeplearning4j can run on both Scala and Clojure, and it provides built-in GPU support for a distributed framework. You can also use the library to set up a deep net by configuring its hyper-parameters.

Deeplearning4j supports nearly every type of deep net, including the MLP, RBM/DBN, Convolutional Net, Recurrent Net, RNTN, and autoencoders. In addition, the Canova vectorization library is included with the package.

How does the Iterative Map-Reduce procedure differ from standard Map-Reduce? In Deeplearning4j, there are two different steps:

- MAP: Input data is distributed throughout the cluster, with every node receiving a different portion of the data. Each node begins training with its input set.
- REDUCE: After training, the parameters of all the nets are averaged. Every node overwrites its net’s parameters with this global average.

These two steps are repeated iteratively until the error is sufficiently small.

Have you ever trained a deep net over a distributed architecture? Please comment and share your experiences.

Credits
Nickey Pickorita (YouTube art) -
https://www.upwork.com/freelan....cers/~0147b8991909b2
Isabel Descutner (Voice) -
https://www.youtube.com/user/IsabelDescutner
Dan Partynski (Copy Editing) -
https://www.linkedin.com/in/danielpartynski
Marek Scibior (Prezi creator, Illustrator) -
http://brawuroweprezentacje.pl/
Jagannath Rajagopal (Creator, Producer and Director) -
https://ca.linkedin.com/in/jagannathrajagopal