High Quality True HDR 12K VIDEO ULTRA HD 60FPS 240FPS , 120FPS , For Your 8K TV or 12K TV - Apple XDR TV , Samsung TV , LG TV , Sony HDR TV, OLED TV, QLED TV, iPhone, Huawei, Xiaomi, Asus Phone and your others 8K or 12K HDR Device.
》You can use this High Resolution Video Footage on your TV at Living Room, Office, Lounge, Waiting Room, Spa, Showroom, Restaurant and more. Play It On Your LG OLed TV, Samsung QLed TV, Smart TV, Sony Device, Samsung Technology, Roku, Apple TV, IPad Pro, Apple XDR, Chromecast, Xbox, Playstation, Wii and more.

》This 12K HDR Demo video is make for Entertainment and Educational purposes.

》I have Done High Color Correction, Color Changing, Bit rate, Raw videos editing, Merge files, 12K Export file and more.

》Total Number of Footage:

1. iNTRO 00:00
2. Burj Al Arab 00:12
3. Taj Mahal, India 00:19
4. Glare Of Sun Is Reflected 00:25
5. Blue City, Morocco 00:32
6. La Turbie Village 00:39
7. Komovi Mountains, Montenegro 01:02
8. St. Basil's Cathedral 01:10
9. Bavaria Germany 01:16
10. Hvezda Park 01:24
11. Stormy Waterfall 01:30
12. Tokyo Japan 01:37
13. Lake Bled, Slovenia 01:43
14. The Monte Carlo Casino 01:55
15. Colosseum, Rome 02:10
16. Massena Place France 02:18
17. Sagrada Familia, Bercelona 02:30
18. Risshaku-ji Yamagata, Japan 02:40
19. The Palm Jumeirah, Dubai 02:47
20. Montenegro 02:54
21. Vancouver, Canada 03:04
22. Yokohama Japan 03:11
23. Night Hyperlapse 03:18
24. A Field Of Flowering Flax 03:24
25. A tiny Island 03:31
26. Sunset in Bali 03:41
27. The Fjord 03:48
28. Plitvice Lakes Croatia 03:55
29. Balzers, Europe 04:03
30. Sunset 04:11
31. Cityscape 04:18
32. Brazil Night City 04:28
33. Chinese city 04:35
34. London city 04:45
35. Dar es Salaam, Tanzania 04:54
36. Kuala Lumpur Malaysia 05:04
37. China 05:14
38. Turkey 05:30
39. Thailand 05:40
40. Miami waterfront 05:50
41. Castle in Czechia 06:00
42. Portugal 06:09
43. Tbilisi, Georgia 06:17
44. Symi is a Greek Island 06:24
45. The Museum Of The Future In Dubai 06:34
46. New York City 06:43
47. Cloud Gate In Chicago 06:50
48. Waterfall 06:59
49. Ancient Stone Arch Bridge 07:14
50. Hyperlapse 07:24
51. Singapore 07:32
52. Miami timelapse 07:40
53. Zakynthos Island Greece 07:50
54. Bay of Kotor 08:06
55. Island in Indonesia 08:14
56. Rovinj Croatia 08:24
57. Queensland, Australia 08:34
58. Manhattan New York 08:43
59. Lisbon Cityscape 08:53
60. Cappadocia, Turkey 09:03
61. Nature of Greece 09:13
62. City In Spain 09:24
63. Ocean Waves 09:34
64. The Bronx 09:44
65. Old city in Italy 10:06
66. Toronto, Canada 10:16
67. Aerial Hyperlapse 10:32
68. New Jersey City USA 10:42
69. Croatian Coast 10:52
70. Kanli Kula Fortress 11:04
71. Autumn Forest 11:17
72. Beach with palm Trees 11:27
73. Germany 11:37
74. Tea plantation in Indonesia 11:50
75. Suzhou, China 12:03
76. Suzhou, China 12:15
77. Time-lapse in Dubai 12:25
78. Timelapse of Tokyo 12:45
79. Traffic Around 12:55
80. Multilevel Intersection 13:02
81. Chicago Illinois 13:10
82. Canal in Dubai 13:19
83. Cinematic timelapse Los Angeles 13:28
84. Freedom Tower 13:35
85. Brick Buildings 13:48
86. Minsk Belarus National Library 14:00
87. Greek Island of Rhodes 14:15
88. Beautiful Nature in Thailand 14:30
89. London city 14:44
90. Floating market in Indonesia 14:55
91. Flora, Singapore 15:08
92. Downtown Miami, Florida 15:15
93. The Izu peninsula, Japan 15:27
94. Sea Waves 15:40
95. Bavaria, Germany 15:50
96. Waterfalls 16:00
97. Lysefjord aerial 16:10
98. Geirangerfjord Norway 16:22
99. Colorful Umbrellas in Japan 16:33
100. Belitung Indonesia 16:40
101. Lifeless orange toxic lake 16:49
102. Exotic Golden Beache 17:06
103. Sveti Stefan Island in Montenegro 17:13
104. Wiltshire, England 17:23
105. Sagrada Familia Spain 17:33
106. Rock Hotel And Casino 17:43
107. View over Split , Croatia 17:51
108. Machu Picchu, Peru 18:03
109. Hangzhou China Waterfront 18:08
110. Atlanta hyperlapse oakland 18:19
111. Night Hyperlapse 18:31
112. Hyperlapse 18:41
113. Dubai, United Arab Emirates 18:52
114. Kuala Lumpur 19:01
115. The Monte Carlo Casino 19:15
116. Dolly Hyperlapse 19:42
117. Dallas 19:52
118. Hyperlapse 20:02
119. City Hall in London, England 20:09
120. End Scene 20:17

--------------
》Thumbnail Credits: Freepik
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》Music in This Video:
1st & 2nd Music: I Use Paid Music in this Video.
3rd Music: Good For You by THBD https://soundcloud.com/thbdsultan
Creative Commons — Attribution 3.0 Unported— CC BY 3.0
Free Download / Stream: http://bit.ly/2PgU6Mu
Music promoted by Audio Library https://youtu.be/-K_YSjqKgvQ
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》All Credits Goes to Youtube
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© Disclaimer:
》All The Footage Used In this Video Licensed by 8K Earth.
》I Use Paid Stock Footage & All Pictures In My Channel.
》Video Footage Copyright Under Standard License.
》I tried to Present the Video in a new way by Changing the color of the Video.

🔥 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐖𝐞𝐛 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 : https://www.edureka.co/complete-web-developer (Use code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎")
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What are the pre-requisites ?
This Web Development training course doesn't require any prior programming knowledge. Basic computer science knowledge will be enough to get started with this course. In case you wish to brush up your skills, Edureka offers you a complimentary pre-recorded course: "JavaScript Essentials" for The Complete Web Developer.

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How to implement YOLOv3 from scratch using Pytorch.

If you prefer to read instead of watch there is also a written article:
https://sannaperzon.medium.com..../yolov3-implementati

In this video we'll:
✔️ Recap of YOLO
✔️ YOLOv1 vs YOLOv3 differences
✔️ Implementing the architecture
✔️ Dataset loading of MSCOCO and Pascal VOC
✔️ Loss function
✔️ Setting up training

Original paper:
https://arxiv.org/abs/1804.02767


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

YOLOv3 repository:
https://bit.ly/3pIIXT8

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

✅ Equipment I use and recommend:
https://www.amazon.com/shop/aladdinpersson

❤️ Become a Channel Member:
https://www.youtube.com/channe....l/UCkzW5JSFwvKRjXABI

✅ One-Time Donations:
Paypal: https://bit.ly/3buoRYH
Ethereum: 0xc84008f43d2E0bC01d925CC35915CdE92c2e99dc

▶️ You Can Connect with me on:
Twitter - https://twitter.com/aladdinpersson
LinkedIn - https://www.linkedin.com/in/al....addin-persson-a95384
Github - https://github.com/aladdinpersson

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

⌚️ Timestampo:
0:00 - Introduction
0:50 - Recap of YOLO
6:10 - YOLOv3 vs YOLOv1
14:25 - Model implementation
47:20 - Dataset class
1:14:30 - Loss implementation
1:29:07 - Config file
1:34:24 - Training
1:51:05 - Ending

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

In this video we take a look at a way of also deciding what the output from the GAN should be. Specifically the output is conditioned on the labels that we send in and as an example we take a look at training on MNIST (of course) ;) But these ideas extend to any dataset you're working with really!

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

✅ Equipment I use and recommend:
https://www.amazon.com/shop/aladdinpersson

❤️ Become a Channel Member:
https://www.youtube.com/channe....l/UCkzW5JSFwvKRjXABI

✅ One-Time Donations:
Paypal: https://bit.ly/3buoRYH

▶️ You Can Connect with me on:
Twitter - https://twitter.com/aladdinpersson
LinkedIn - https://www.linkedin.com/in/al....addin-persson-a95384
Github - https://github.com/aladdinpersson

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

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

OUTLINE:
0:00 - Introduction
0:56 - Modifying Generator and Discriminator
6:58 - Modifying Gradient Penalty
7:35 - Modifying Training
10:43 - Evaluation & Ending

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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