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High Quality HDR 12K VIDEO ULTRA HD 120FPS, 60FPS, 30FPS For Your HDR 8K resolution devices. Amazing combination of 16k sensor and one of the sharpest lenses in the world Zeiss Otus set in addition of HDR brings image to life! You can use this collection of Hight Resolution clips in your Tv For The Living Room, Office, Lounge, Waiting Room, Spa, Showroom, Restaurant and more. Play It On Your LG Qled TV, Samsung Oled TV, Smart TV, Sony Device, Samsung Technology, Roku, Apple TV, IPad Pro, Apple XDR, Chromecast, Xbox, Playstation and more.
🔥Note: To view at 8K 60P you will need to use Chrome & opera.
🔥 All Videos was shot, edited & color graded by me.
THESE 8K VIDEOS ARE FOR TV'S FOR DEMO AND TEST THE QUALITY OF ALL 8K TV'S.
🔥 I have done High color correction, Color changing, Raw Videos editing, HDR color Setting, merge files & 8K Export file etc.
Editing Video by
PREETI NAAGAR
This video created for entertainment informative, educational purposes and Film & Animation.
Editing Software
Adobe premiere pro
ALL CREDIT GOES TO YOUTUBE
Copyright
🎦 All The footage Was Edited And Color Corrected By Me.
🎦 Video Footage Copyright Under License.
All other rights reserved.
( Sulphur-crested cockatoo, Domestic Muscovy duck, Old World sparrows, Pembroke Welsh Corgi, Capybara Rodents, Oriental Shorthair cat, European mantis, African penguin, Chihuahua Dog, Sun conure bird, Toulouse goose, Bearded vulture, British Shorthair, Marabou stork, Common frog, Mandarin duck, Spotted Dove, Fainting goat, Aegean cat )
#12khdr #DolbyVision #60fps
FLYING OVER JAPAN (4K UHD) Amazing Beautiful Nature Scenery with Relaxing Music | 4K VIDEO ULTRA HD
Japan, known as Nihon, Nihon-koku or Nippon (日本) in Japanese, is a nation of islands in East Asia.
The "Land of the Rising Sun" is a country where the past meets the future. Japanese culture stretches back millennia, yet has also been quick to adopt and create the latest modern fashions and trends.
Japan is often difficult to understand for those educated in the west. It can seem full of contradictions. Many Japanese corporations dominate their industries, yet if you read the financial news it seems like Japan is practically bankrupt. Cities are as modern and high tech as anywhere else, but tumbledown wooden shacks can still be spotted next to glass fronted designer condominiums. Japan has beautiful temples and gardens which are often surrounded by garish signs and ugly buildings. The most acclaimed restaurant in the country, which costs hundreds of dollars for dinner, is a small shop located in a subway station seating less than a dozen people. In the middle of modern skyscrapers you’ll discover sliding wooden doors which lead to traditional chambers with tatami mats, shoji screens, and calligraphy, suitable for traditional tea ceremonies. These juxtapositions can seem perplexing or jarring to those used to the more uniform nature of European and North American cities, but if you let go, and accept the layered aesthetics, you’ll find interesting and surprising places throughout the country.
Japan has often been seen in the West as a land combining tradition and modernity, and many traditional structures and practices are preserved, but modern structures and practices definitely dominate your experience in Japan. Japan was the first Asian country to independently modernize, and the country continues to embrace new technologies and aesthetics, but unlike in many countries, Japan does not feel a particular need to attack or remove older technologies, structures, or practices. New things are mostly just layered beside old things. That’s not to say that Japan embraces the large scale preservation of historical structures or that people generally practice traditional ceremonies, but people generally believe that if a small number of people want to continue on a tradition or preserve a building that they own, they should be allowed to do that. In this way, development mostly happens in a piecemeal fashion, one building at a time, rather than in large redevelopment projects. Many urban blocks evolve to line up dozens of narrow buildings spanning fifty or more years of design history. Clothing styles evolve along a dozen paths at the same time rather than singular mass fashion trends. An individual that embraces a particular subculture and its fashions may alternately conform to vary different norms when working or at home, but there is little sense of conflict between these roles.
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I was inspired to make these videos by this specialization: https://bit.ly/3SqLuA6
In this video we build a simple generative adversarial network based on fully connected layers and train it on the MNIST dataset. It's far from perfect, but it's a start and will lead us to implement more advanced and better architectures 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
0:29 - Building Discriminator
2:14 - Building Generator
4:36 - Hyperparameters, initializations, and preprocessing
10:14 - Setup training of GANs
22:09 - Training and evaluation
This is my solution to costFunctionReg.m function in Programming assignment 2 from the famous Machine Learning course by Andrew Ng.
Github: https://github.com/AladdinPerz....on/Courses/tree/mast
Should You Use PyTorch or TensorFlow in 2022? Find out here!
Detailed blog post: https://www.assemblyai.com/blo....g/pytorch-vs-tensorf
Quick PyTorch vs. TensorFlow comparison.
Get your Free Token for AssemblyAI Speech-To-Text API 👇https://www.assemblyai.com/?utm_source=youtube&utm_medium=referral&utm_campaign=yt_pat_13
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#MachineLearning #DeepLearning #Shorts
How would you explain what machine learning is? In this video I try to explain it in varying degrees of specificity and how to answer the question depending on the person asking the question. I also go into what subcategories of machine learning exists, which we will also go deeper into in future videos.
Timestamps:
0:00 - Introduction
0:40 - What is Machine Learning?
1:36 - More specific explanation by Arthur Samuel
2:21 - Most specific definition
3:35 - Subcategories of ML
5:27 - Supervised Learning (vaguely explained)
5:47 - Unsupervised Learning (vaguely explained)
6:10 - Recommender Systems (vaguely explained)
6:30 - Reinforcement Learning (vaguely explained)
7:00 - Sub-Sub Categories: Self-Supervised Learning
7:40 - Sub-Sub Categories: Semi-Supervised Learning
8:32 - Ending
Play, save & stream 4K movie videos free on PC with 5KPlayer:
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I DO NOT OWN THIS CLIP
All rights owned by Universal Pictures
https://www.youtube.com/universalpictures
All tony stark scenes in MCU 4k60fps
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Detectives are at a loss in solving 25 consecutive weeks of mysterious murders and suicides in a not-so-distant future Los Angeles when a sudden break leads them closer to the truth.
Dispatcher is a passion project of mine developed as a pitch pilot and was my first narrative indie film effort captured and delivered in 8K. It premiered and was well received in Las Vegas and Los Angeles in 2017.
As always, best experienced in a quiet darker room, full screen, ideally in 4K or 8K.
If you have inquiries, reach me at phfx.com.
Music licensed via MusicBed.
Support me on Patreon: https://www.patreon.com/mikeolbinski
Buy Prints: https://gallery.mikeolbinski.com/
Merch: https://me.mikeolbinski.com
Buy this on BluRay: https://www.etsy.com/shop/MikeOlbinski
Music By Peter Nanasi: https://peternanasi.bandcamp.c....om/album/niltsa-nilt
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Níłtsą́: the Navajo word for 'rain'
Two years in the making. Almost 80 total days of chasing. Tens of thousands of miles driven. All packed into 12 minutes of the best storms and moments from the 2021/22 monsoon in Arizona. These films are my entire heart and passion for what I do. Sometimes I'm so tired I don't even want to chase, and I have to MAKE myself get into the truck and start driving. And it's almost always worth it.
One of my supporters on Patreon answered my call for a possible new name for the series. I wasn't sure if I wanted to, and it would take something special to get me to do it. Leonard's wife suggested Niltsa, and I immediately fell in love with it. It's a gorgeous word. Our adopted son Eli is half Native American as well and it felt like the right name this year to honor him and his heritage. Thank you Leonard and wife!
The storms I saw the last two summers were amazing. Of course 2022 was far superior, but it overall was a blast. Some incredible lightning storms, beautiful sunsets, dust storms and powerful downbursts. The final few minutes of the film are of course jammed with the good stuff, but the ending storm (which is the thumbnail for this film) was something otherworldly.
Thanks to so many people for helping in this. My supporters on Patreon...workshops guests who spend their hard earned dollars to go chasing with me...the BBC for having me lead a group in 2021 for 12 days, which ensured I saw a ton of weather.
Thank you to Peter Nanasi as always for developing some epic, custom music for me! You are a hero dude!
Mainly as always to my wife Jina for being the utter beacon of support I would be lost without. I was gone a lot this past spring/summer and her ability to manage the chaos of our house when I'm gone is amazing. To her and the kids...I love you all, thanks for allowing me to chase my passion!
I hope you all enjoy this film. It's always a tough thing for me to put these out into the world. I've watched this one a few hundred times, fixed dust spots, camera shake, colors and errant fingers. At some point you just have to be done and let it live.
Thank you for watching and please feel free to share!
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Captured with: Canon 5DSR and R5
Edited/Processed with: LR Timelapse, Adobe Lightroom/After Effects/Premiere Pro
Convolutional neural networks are used in machine vision projects for image and object recognition. In 2015, Google open-sourced a project called Inceptionism, also known as Deep Dream, which “hallucinates what it sees onto images” according to Jason Toy. This is an important project that showcases the link between discriminative and generative models.
Deep Learning TV on
Facebook: https://www.facebook.com/DeepLearningTV/
Twitter: https://twitter.com/deeplearningtv
Relevant URLs
Somatic model - http://www.somatic.io/inceptionism
Somatic Blog post - http://www.somatic.io/blog/how....-inceptionism-works?
Inceptionism - https://research.googleblog.co....m/2015/06/inceptioni
Dog nebula - http://www.ibtimes.co.uk/googl....e-deepdream-robot-10
Somatic URL - http://www.somatic.io/
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
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Artificial Neural Networks explained in a minute.
As you might have already guessed, there are a lot of things that didn't fit into this one-minute explanation. You can read my accompanying blogpost for some more details on things I might have left out: https://arztsamuel.github.io/e....n/blogs/2018/EiaM-Ne
If you like these kind of videos and would like to see more technical topics explained in a minute, let me know by pressing the like button.
Don't miss any future videos, by subscribing to my channel.
Follow me on Twitter: https://twitter.com/SamuelArzt
Interested in this series? You can find more information about it on my website: https://arztsamuel.github.io/e....n/projects/youtube/e
This video was recorded with a potato.
Background Music: Drops of H2O ( The Filtered Water Treatment ) by J.Lang (c) copyright 2012 Licensed under a Creative Commons Attribution (3.0) license. http://dig.ccmixter.org/files/djlang59/37792 Ft: Airtone
#NeuralNetworks #MachineLearning #Tutorial