High Quality HDR 8K VIDEO ULTRA HD 120FPS, 60FPS, 30FPS For Your HDR 8K resolution devices. Amazing combination of 12k 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.

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#12KHDR #DolbyVision #60fpsHigh Quality HDR 8K VIDEO ULTRA HD 120FPS, 60FPS, 30FPS For Your HDR 8K resolution devices. Amazing combination of 12k 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.

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This video created for entertainment informative, educational purposes and Film & Animation.

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ALL CREDIT GOES TO YOUTUBE

Copyright
⭐ All The footage Was Edited And Color Corrected By Me.
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#12Khdr #DolbyVision #Animals&Nature

Tinkering with reinforcement learning via Stable Baselines 3 and Starcraft 2.

Code and model: https://github.com/Sentdex/SC2RL

Stable Baselines 3 tutorial: https://pythonprogramming.net/....introduction-reinfor

Neural Networks from Scratch book: https://nnfs.io
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STAR WARS: THE OLD REPUBLIC Full Movie 8K 60FPS Upscaled (Remastered with Machine Learning AI) UHD

Star Wars The Old Republic All Cinematic Trailers

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Links to Source Trailers if you want to see what they originally looked liked on their own:

Return Cinematic Trailer - https://www.youtube.com/watch?v=mm4JEZudf0c
Hope Cinematic Trailer - https://www.youtube.com/watch?v=1ToztqqDcaY
Deceived Cinematic Trailer - https://www.youtube.com/watch?v=YdgmH9Vv2-I
Sacrifice Cinematic Trailer - https://www.youtube.com/watch?v=Nzq9epS2b1A
Betrayed Cinematic Trailer - https://www.youtube.com/watch?v=LbpDxrew4A0

You can check out more of our upscales here: https://www.youtube.com/playli....st?list=PL1cvljv8vQm

I used Gigapixel AI to upscale and enhance the original videos, and we feel the results are quite good. I also used DAIN to make the original 30 frame videos into 60 frames per second (one of them was original 24fps and we interpolated it to 48fps). If you're watching on a phone then you're likely won't see too much of a difference, but if you're on a desktop or tv and are watching in 2K, 4k or 8K you should see a stark difference, especially if you click on the original videos after to see how grainy and blurry they look now on modern monitors. Even if you don't have an 4K or 8K monitor, you can still click on those options to get a better bitrate and quality. The only issue is you might get frame lag. If that's the case you might want to check your settings on Chrome to see if you have hardware acceleration on, in many cases that will help with the lag. Let us know what other upscales you'd like to see. Hope you enjoy!

00:00 Return
06:01 Hope
11:01 Deceived
14:14 Sacrifice
18:10 Betrayed
24:05 Return Comparison With Original
29:52 Hope Comparison With Original
34:51 Deceived Comparison With Original
38:03 Sacrifice Comparison With Original
42:00 Betrayed Comparison With Original
47:54 Outro


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RAKSHAKA Full Movie is now available on Kannada Filmnagar. #Rakshaka is the latest super hit Kannada Dubbed movie starring Super Star Mahesh Babu, Tamannah Bhatia, Sonu Sood and others in the lead roles. The movie is directed by Srinu Vaitla and produced by Ram Achanta, Gopichand Achanta and Anil Sunkara. The music was composed by Thaman and DOP by K. V. Guhan. For more Latest Kannada Movie News, Celebs Updates & Sandalwood Updates stay tuned to #KannadaFilmnagar - http://bit.ly/38BJpx8.

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Synopsis: Encounter ​specialist ​Shankar (Mahesh Babu) is posted to a small town called Bukkapattanam. The entire area is dominated by a ​dreaded don called Damodar (Sonu Sood),​ who runs illegal businesses by threatening the poor. Shankar decides to take ​things in his hands, and starts ​planning ​Damodar’s decline. ​Midway through, he comes to know a shocking truth about Damodar, which relates back to his family.
What is that truth? How does Shankar manage to destroy Damodar​ and his empire ? and Where do Saroja(Tamannah) and Delhi Suri(Brahmanandam) fit in this entire set-up?. To know the answers to all these questions, you need to watch the film on a big screen.

#maheshbabu #tamannaah #latestkannadamovies #sandalwoodmovies

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SHIRDI SAI FULL MOVIE HD | Nagarjuna | Kamalinee Mukherjee | Latest Kannada Dubbed Movies | KFN - https://youtu.be/2LzUpFnrxOk

ARGENTINA FULL MOVIE HD | Kalidas Jayaram | Aishwarya Lekshmi | Latest Kannada Dubbed Movies | KFN - https://youtu.be/0cDSOFogZto

ISmart Shankar Full Movie - https://bit.ly/3ic4EKe

Namma Kutumba Full Movie - https://bit.ly/3AMDbWQ

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In this deep learning interview questions and answers you will learn the latest and top questions asked by companies for deep learning interview. This deep learning interview questions & answers video covers all kinds of questions starting from basic to advanced questions so that you can get benefited.
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📝Following questions are covered in this deep learning video:
00:00 - Deep Learning Interview Questions And Answers
00:59 - What is the Difference between Machine Learning and Deep Learning?
02:16 - What is Perceptron?
03:26 - How is Deep Learning better than Machine Learning?
04:29 - What are some of the most used applications of Deep Learning?
05:27 - What is the meaning of Over fitting?
06:47 - What are Activation functions?
08:00 - Why is Fourier transform used in Deep Learning?
08:55 - What are the steps involved in training a perceptron in Deep learning?
09:47 - What is the use of the loss function?
10:30 - What are some of the Deep Learning Frameworks or tools that you have used?
11:49 - What is the use of the swish function?
12:38 - What are auto encoders?
13:41 - What are the steps to be followed to use the gradient descent algorithm?
14:57 - Differentiate between a single layer perceptron and a multi-layer perceptron
16:00 - What is data normalization in Deep Learning?
16:54 - What is forward propagation?
17:44 - What is back propagation?
18:40 - What are Hyper parameters in Deep Learning?
19:19 - How can hyper parameters be trained in neural networks?
21:38 - What is the meaning of dropout in Deep Learning?
22:42 - What are Tensors?
23:44 - What is the meaning of model capacity in Deep Learning?
24:33 - What is Boltzmann Machine?
25:25 - What are some of the advantages of using TensorFlow?
26:27 - What is the computational graph in Deep Learning?
27:40 - What is a CNN?
28:25 - What are the various layers present in a CNN?
30:19 - What is an RNN in Deep Learning?
31:15 - What is a Vanishing gradient when using RNNs?
32:11 - What is exploding gradient descent in Deep Learning?
33:10 - What is the use of LSTM?
34:04 - Where are autoencoders used?
35:05 - What are the types of auto encoders?
35:35 - What is a restricted Boltzmann Machine?
36:30 - What are some of the limitations of Deep Learning?
38:04 - What are the variants of gradient descent?
39:33 - Why is mini-batch gradient descent so popular?
40:35 - What are deep autoencoders?
41:47 - Why is the leaky ReLu function used in Deep Learning?
42:35 - What are some of the examples if the supervised learning algorithms in Deep Learning?
43:25 - What are some of the examples of unsupervised learning algorithms in Deep Learning?
43:56 - Can we initialize the weights of a network to start from zero?
45:00 - What is the meaning of valid padding and same padding in CNN?
46:16 - What are some of the applications of transfer learning in Deep Learning?
47:25 - How is the transformer architecture better than RNNs in Deep Learning?
48:41 - What are the steps involved in the working of an LSTM network?
50:07 - What are the elements in TensorFlow that are programmable?
50:43 - What is the meaning of bagging and boosting in Deep Learning?
51:52 - What are generative adversarial networks (GANs)?
53:00 - Have you earned any sort of Certification to improve your learning and implementation process?
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Why should you opt for an Artificial Intelligence career?

If you want to fast-track your career then you should strongly consider Artificial Intelligence. The reason for this is that it is one of the fastest growing technology. There is a huge demand for professionals in Artificial Intelligence. The salaries for A.I. Professionals is fantastic.There is a huge growth opportunity in this domain as well.
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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐁𝐢𝐠 𝐃𝐚𝐭𝐚 𝐇𝐚𝐝𝐨𝐨𝐩 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎) : https://www.edureka.co/big-dat....a-hadoop-training-ce
This Edureka Big Data tutorial ( Big Data Hadoop Blog series: https://goo.gl/LFesy8 ) helps you to understand Big Data in detail. This tutorial will be discussing about evolution of Big Data, factors associated with Big Data, different opportunities in Big Data. Further it will discuss about problems associated with Big Data and how Hadoop emerged as a solution. Below are the topics covered in this Big Data tutorial:
00:00:00 Introduction
00:00:21 Agenda
00:01:20 Evolution of Technology
00:04:06 Social Media
00:05:38 Other Factors
00:06:36 What is Big Data
00:07:46 Volume
00:08:16 Variety
00:09:23 Velocity
00:12:05 Veracity
00:12:53 5 V's of Big Data
00:13:23 Big Data as an opportunity
00:16:44 Big Data Collected by Smart Meter
00:17:20 Problem with Smart Meter Big Data
00:17:42 How Smart Meter Big Data Is Analysed
00:20:14 ONCOR using IBM Smart Meter Solution
00:23:08 Problems with Big Data
00:28:25 Hadoop Distributed File System
00:29:47 Storing Data (Solution)
00:31:13 Store Different kinds of Data (Solution)
00:31:49 Processing Data Faster (Solution)
00:33:18 Hadoop Ecosystem
00:36:05 Big Data Hadoop Certification Training
00:38:36 Some Big Data & Hadoop Projects @ Edureka
00:40:31 Session In A Minute

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬

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📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 2023 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
⏩ NEW Top 10 Technologies To Learn In 2023 - https://youtu.be/udD_GQVDt5g

📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫: https://twitter.com/edurekain
📌𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/edureka
📌𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: https://www.instagram.com/edureka_learning/
📌𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: https://www.facebook.com/edurekaIN/
📌𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: https://www.slideshare.net/EdurekaIN
📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN
📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/
📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/

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Let's make a tribute to Elon Musk! This FreeCodeCamp project will passes all tests and looks stunning. This would be a nice, simple project to add to your portfolio. We learn about sizing images, centering divs, and using great typography.

Thanks for watching and have a great day!

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Whether you like it or not, generative AI like ChatGPT and Stable Diffusion are about to change not only how you work, but how the content you consume is produced. Forbes spoke with a number of leading voices in the AI space to determine both the benefits and the dangers of this next wave of technological innovation, and find out why both tech giants as well as cutting edge startups are racing to grab their share of the market.

0:00 Introduction
1:17 What is generative AI?
2:02 Why Forbes decided to cover this story
2:18 The rise of Open AI
3:11 AI's recent hype
4:30 Stability AI and Stable Diffusion
6:39 Bill Gates thoughts on generative AI
7:53 Where AI can help in workflows
9:56 The issues with AI that need to be resolved
12:04 How do we set safeguards for AI to protect society?
15:14 How will we further incorporate AI in the future?
19:14 The idea of "platform democracy"
20:56 How we used AI for this video

Read the full story on Forbes: https://www.forbes.com/sites/a....lexkonrad/2023/02/02

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