new movie trailer for Fast And Furious 9 in 4K ULTRA HD Quality Starring Vin Diesel

Fast & Furious 9 is an upcoming American action film directed by Justin Lin and written by Daniel Casey. A sequel to 2017's The Fate of the Furious, it will be the ninth installment in the Fast & Furious franchise. The film will star Vin Diesel, Michelle Rodriguez, Jordana Brewster, Tyrese Gibson, Chris "Ludacris" Bridges, Nathalie Emmanuel, John Cena, Helen Mirren, Charlize Theron and Michael Rooker.

Fast & Furious 9 is scheduled to be theatrically released in the United States on May 22, 2020 by Universal Pictures.

🔥 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐉𝐚𝐯𝐚𝐒𝐜𝐫𝐢𝐩𝐭 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞: https://www.edureka.co/javascr....ipt-certification-tr
This Edureka video on What is JavaScript explains all the fundamentals of JavaScript with examples. This JavaScript tutorial for beginners also explains various features and applications of JavaScript in the following sequence:
00:00 Introduction
01:28 Origin of JavaScript
03:40 What is JavaScript?
05:56 What can JavaScript do?
07:02 JavaScript Frameworks
08:16 HTML vs CSS vs JavaScript
08:59 Benefits of JavaScript
10:26 JavaScript Fundamentals

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About Course:

What is the best way to learn JavaScript?

Edureka’s JavaScript Certification Training is the best training module you need to master the technology and look to make a career in it. We also provide a plethora of free tutorials and blogs that will help you get started with JavaScript and cover the basics well.

What are the skills needed to master JavaScript?

There is no such skill-set required to master JavaScript. Having basic functional knowledge of HTML and CSS will be an add-on when you learn JavaScript.

Why take an online JavaScript Certification course? How is it better than an offline course?

Learning pedagogy has evolved with the advent of technology. Online training adds convenience and quality to the training module. With our 24x7 support system, our online learners will have someone to help them all the time even after the class ends. This is one of the driving factors to make sure that people achieve their end learning objective. We also provide life-time access to our updated course materials.

Resources that was very useful for me when learning about GNNs that you can check out for more information and from which I've used in the slides:

Cs224w: https://youtube.com/playlist?l....ist=PLoROMvodv4rPLKx
https://distill.pub/2021/gnn-intro/
https://distill.pub/2021/understanding-gnns/
https://www.youtube.com/playli....st?list=PLV8yxwGOxvv
https://youtu.be/8owQBFAHw7E
https://youtu.be/uF53xsT7mjc
https://youtu.be/w6Pw4MOzMuo

0:00 Introduction
1:24 Why graphs
4:13 What is a graph
7:06 Common graph tasks
11:08 Representation of a graph
12:46 - How does a GNN work?
14:35 - Understanding information propagation
17:24 - Key property: Permutation Invariance
19:33 - Key property: Permutation Equivariance
22:22 - Message passing computation
23:53 - GNN Variant: Convolution
26:37 - GNN Variant: Attention
28:39 - Ending

In this video we take a look at how to solve the super common problem of having an imbalanced or skewed dataset, specifically we look at two methods namely oversampling and class weighting and how to do them both in PyTorch.

Toy dataset used in video:
https://www.kaggle.com/dataset..../77934f795ab14e30431

People often ask what courses are great for getting into ML/DL and the two I started with is ML and DL specialization both by Andrew Ng. Below you'll find both affiliate and non-affiliate links if you want to check it out. The pricing for you is the same but a small commission goes back to the channel if you buy it through the affiliate link.
ML Course (affiliate): https://bit.ly/3qq20Sx
DL Specialization (affiliate): https://bit.ly/30npNrw
ML Course (no affiliate): https://bit.ly/3t8JqA9
DL Specialization (no affiliate): https://bit.ly/3t8JqA9

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PyTorch Playlist:
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In this video we do a paper walk through of the GCN (Graph Convolutional Network) paper that is the most cited and one of the impactful in graph neural networks. We understand how they derived it and how it works in detail.

Big thanks to MakinaRocks for sponsoring this video, and I encourage you to check out Link which is a jupter lab extension they have developed to make notebooks more intuitive and easier to use. A few of the features I’ve found useful are:
1️⃣ Caching result from running cells in notebooks to avoid re-running them
2️⃣ Visualizing cell dependencies
3️⃣ Integrated version control

Check it out⬇️
https://bit.ly/3F4COvv

Link Demo Video 👉 https://youtu.be/uM2uPG-1eQQ
Link Documentation 👉https://makinarocks.gitbook.io/link/

Timestamps:
0:00 - Introduction
1:00 - Sponsored Segment: Link
2:09 - Abstract and overview
4:13 - Introduction to the problem
8:53 - How GCNs work
13:47 - Theory of GCN derivation
21:25 - GCN Node classification example
24:33 - Conclusions & Results
25:13 - Ending thoughts

#link #gcn

The Dark Knight (2008)
Scene: HIT ME! (Batman vs Joker) - Joker gets Caught (IMAX Version 8K)
Director: Christopher Nolan
Writers: Jonathan Nolan (screenplay), Christopher Nolan (screenplay), David S. Goyer (story)
Cast: Christian Bale (Bruce Wayne \ Batman), Heath Ledger (Joker), Aaron Eckhart (Harvey Dent \ Two-Face), Michael Caine (Alfred), Maggie Gyllenhaal (Rachel), Gary Oldman (Gordon), Morgan Freeman (Lucius Fox), Monique Gabriela Curnen (Ramirez), Cillian Murphy (Scarecrow), Chin Han (Lau), Eric Roberts (Maroni)

Production Companies
Warner Bros. (presentation)
Legendary Entertainment (in association with)
Syncopy
DC Comics

WarnerMedia©

#TheDarkKnight
#Batman
#DCComics
#Joker
#8K #HDR #8KHDRWORLD
#8KHDR

We present the 1st True 8K drone film by Film Edge, created right here in Kuala Lumpur, Malaysia.

After 2 months of prep, 2 months of shooting, and 6 months of post-processing, we’re finally posting our Airpixel 8K Kuala Lumpur Drone Film.

With worries about the pandemic weighing on our minds, we hope this drone film sends uplifting positive vibes across the nation. We hope it can showcase the beauty of Kuala Lumpur, captured with a high dynamic range and high-resolution camera, and maybe remind us not to lose hope.

Throughout the shoot, we met countless people who shared their knowledge and techniques. We sincerely appreciate these good souls, who volunteered to lend a hand and make our work smoother in completing the film.

Special thanks to Canon Marketing Malaysia — they were the first to believe in us and back us, when we shared our project vision and objectives during our first meeting back in August 2020.

It wasn’t an easy ride throughout the entire process, but we’re so relieved that we managed to overcome all the obstacles in producing this film, with your support.

Hopefully with the kickstart of these Airpixel 8K Kuala Lumpur Drone Films, we are able to inspire many other videomakers to generate 8K films and bring more beauty into this world.

Shot with
DJI Matrice 600 Pro
DJI Matrice 600
Ronin Mx Gimbal
Canon R5, Raw Format (8192 x 4320)
Lens: Canon RF Prime Lenses 35mm, 50mm
Sigma Art Prime Lens 35mm, 50mm, 85mm

BGM: Human-Spirit—Instrumental-Version by Hans-Johnson (artist)

Credit List:
Director : Andy Tan
Executive Producer : Nic Yeow
Producer : Sandra Khor
Drone Pilot : Wayne Ooi
Drone Gimbal Operator : Andy Tan
Drone Tech Supervisor : Adrian Loo
Drone Tech Assistant : Hong Xing Hang
Drone 1st Spotter : Teh Kelven
Production Assistant : Carol Hoo
Production Assistant : James Lam
Production Assistant : James Yap
Editor : Andy Tan
Graphic Designer : Teh Kelven
VFX : Chern Liang
Color Grading : Beh Jing Qiang
ScriptWriter : Zoey Moo
TMO Director : Chris Lee Chee Khoon
TMO Cinematographer : WenChuen Boy
TMO Editor: Teh Kelven, James Yap
Social Media Admin: James Lam

Special Thanks:
Canon Marketing Malaysia
Jin Xi Cheong @ Poladrone
Syahir @ EQ Kuala Lumpur
Cui Yun @ TREC
MonopodCo
Film Troop
Rocket Science Productions
Alex Chu @ March Equipment Store
Andrew @ AKP Studio
Bahrum Jaili
Adam Lokman
Yap Khai Soon
Darryl Chong
L33 Capital Sdn Bhd

Supported by
Malaysia Sports Aviation Federation - MSAF
DJI Malaysia
Tunku Abdul Rahman University College - TAR UC

Inspired by:
AnakAnakMalaysia by EcoWorld
TheNiteNiteShow With AlvinAnthons

#AirPixel8kkl #8kdronefilm #KualaLumpur8k #8kKualaLumpur #8kDrone #AirPixel #Filmedgeproduction #Kualalumpur #Malaysia #StayHealthy #KitaJagaKita #Southeastasia #AnakAnakMalaysia #TheNiteNiteShowWithAlvinAnthons

© 2021 Film Edge Sdn Bhd. All Rights Reserved.

A local gangster Tedha Singh is recruited for a by RAW, whose main aim is to catch Bob Morley, a dreaded international mafia leader. In the midst of flirting with a bar dance, who turns out to be an ACP and wooing Harika in the neighbourhood, Tedha Singh also has a violent brush with a Minister's hoodlums. Harika is searching for her missing sister Sarika. But it is not hunky dory as Tedha Singh has a secret flashback, which plays out in the backdrop of Portugal. What is his mission, how did he meet Sarika and what happened to her is the rest of the story.

Movie:- Paisa Vasool
Starcast:- Nandamuri Balakrishna, Shriya Saran, Vikramjeet Virk, Musskan Sethi, Kabir Bedi, Kyra Dutt, Ali
Directed by:- Puri Jagannadh
Music by:- Anup Rubens

#PaisaVasool #NandamuriBalakrishna #ShriyaSaran #Goldmines

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With the MVTec Deep Learning Tool it’s possible to train a deep-learning-based classification model from scratch. First, we import images of your application – using the folder structure, the Deep Learning Tool can assign labels automatically. We can then easily review our data by filtering the images according to these labels. After that, we train the model using transfer learning and pretrained networks provided by MVTec. Lastly, we can review the trained model in detail, using a confusion matrix, heatmaps and more. In this video, version 0.5 of the Deep Learning Tool is used. The exported trained model including the associated dictionary, which contains the preprocessing parameters, can be imported into HDevelop and MERLIC and then used for inference.

In this video, version 0.5 of the Deep Learning Tool is used.

Get more information at https://www.mvtec.com/products/deep-learning-tool/