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.
⭐ Video Footage Copyright Under License.

All other rights reserved.

#12Khdr #DolbyVision #Animals&Nature

In this video we take a look at the Sequence Models in Recurrent Neural Network (RNN), Gated Recurrent Unit (GRU) and Long Short Term Memory (LSTM). We also see how these can be formed to be bidirectional.

If you're unfamiliar with Sequence models such as RNNs, GRUs, and LSTMS, I recommend:
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I learned a lot and was inspired to make these TensorFlow videos by the TensorFlow Specialization on Coursera. Below you'll find both affiliate and non-affiliate links, the pricing for you is the same but a small commission goes back to the channel if you buy it through the affiliate link.
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Come check out my latest 4K Movie Review of this classic 90s slasher "I Know What You Did Last Summer" and find out if this release from Sony is worth your time and money!
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We were invited to Bulgaria by "Our Home is Bulgaria" to explore the country for the first time this year and it was an amazing experience to travel through this space with so much history and diverse landscapes. Some of the places we feature here are the Seven Rila Lakes, Alexander Nevsky Cathedral, Thracian Tomb of Kazanlak, Belogradchik Fortress, Devetashka cave, and Mount Buzludzha.

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CGI 3D Animated Short Film: Sprite Fright Animated Short Film by Blender Studio. Featured on CGMeetup Gallery https://www.cgmeetup.com/gallery

Sprite Fright is a Animated slasher Horror Comedy and produced as the thirteenth Blender Foundation Open Movie. A group of rowdy, city-slicking teens set camp in a secluded part of the woods for their biology project.

Produced by Blender Studio. Made with Blender 3.0. Rated PG.
Get the production files, assets and exclusive making-of videos by joining Blender Studio at https://studio.blender.org/films/sprite-fright/ or https://www.blender.org

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#cgi #animation #animated #3d #shortfilm #short #animatedshortfilm

#bobbysimha #karunakaran #comedy #food #streetfood #tamilmovies #tamillatestmovies #tamilhdmovies #tamilnewmovies #tamiloldmovieshd
Aadama Jaichomada (transl. We won without playing) is a 2014 Tamil language black comedy film directed by Badri. Produced by B&C films and Upshot Films, co-produced by Skilite Creations, the film stars Karunakaran, Bobby Simha and Vijayalakshmi in prominent roles, while Balaji Venugopal, Aadukalam Naren, K. S. Ravikumar amongst others appear in supporting roles. The dialogues were written by actor Shiva.[1] The film deals with corruption involved in cricket.[2] Aadama Jaichomada was released on 19 September 2014.

Cast
Karunakaran as Panneer
Bobby Simha as Inspector Bhoominathan
Vijayalakshmi as Rama
Balaji Venugopal as Dhayalan
K. S. Ravikumar as Police Commissioner
Aadukalam Naren as Film Producer
Radha Ravi as Producer
Chetan as Constable Mariadas
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Deep Learning in Life Sciences - Lecture 05 - Interpretable Deep Learning (Spring 2021)
6.874/6.802/20.390/20.490/HST.506 Spring 2021 Prof. Manolis Kellis
Deep Learning in the Life Sciences / Computational Systems Biology
Playlist: https://youtube.com/playlist?l....ist=PLypiXJdtIca5sxV
Latest slides and course today: http://compbio.mit.edu/6874
Spring 2021 slides and materials: http://mit6874.github.io/

0:00 Lecture outline
3:08 Interpretability: definition, importance
10:30 Interpretability: ante-hoc vs. post-hoc
18:26 Interpreting models: Weight visualization
22:20 Interpreting models: Surrogate model
24:14 Interpreting models: Activation Maximization / Data generation
34:26 Interpreting models: Example-based
39:36 Interpreting decisions
42:24 Interpreting decisions: Example based
45:39 Interpreting decisions: Attribution methods
1:01:17 Interpreting decisions: Gradient based
1:08:55 Interpreting decisions: Backprop-based
1:13:23 Evaluating attributions
1:14:15 Evaluating attributions: Coherence
1:15:30 Evaluating attributions: Class sensitivity
1:16:20 Evaluating attributions: Selectivity
1:19:45 Evaluating attributions: Remove and retrain/keep and retrain
1:21:15 Lecture summary

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!

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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

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