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.

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( Groundhog Rodents, Macaw, Young Dunnock, American flamingo, American white pelican, red ant, deer, Black Baldy Cattle breed, Golden Retriever, rabbit, Trans-Caucasian Montane fox, black headed spider monkey, Chestnut-mandibled toucan, American toad Amphibian, Banded garden spider, Asian green bee eater, Eastern tent caterpillar and Three-toed sloth. )




#12khdr #DolbyVision #60fps

In this video I will show you methods to efficiently load a custom dataset with images in directories. Depending on how your dataset is structured the method that is the easiest could vary and the most common ways to load is either having structured subfolders, a csv with with annotations or simply all of the images in a single folder. We use the functions image_dataset_from_directory, ImageDataGenerator together with flow_from_directory for subfolders. Pandas togethor with from_tensor_slices when dealing with an annotation csv file and lastly list_files when having all inside a single image folder directory. Hope you find this tutorial useful!

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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TensorFlow Playlist:
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OUTLINE:
0:00 - Introduction
0:29 - Images in subfolders
14:03 - Folder with annotation csv
19:15 - All in single folder
24:53 - 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!

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GAN Playlist:
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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

With all the juicy drama this week I hope you brought popcorn 🍿

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐞𝐯𝐎𝐩𝐬 𝐜𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐭𝐫𝐚𝐢𝐧𝐢𝐧𝐠 : https://www.edureka.co/devops-....certification-traini (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This DevOps tutorial takes you through what is DevOps all about and basic concepts of DevOps and DevOps Tools. This DevOps tutorial is ideal for beginners to get started with DevOps.
Topics Covered:
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00:12:02 Limitations of Agile
00:14:44 Solution is DevOps!
00:19:14 What is DevOps?
00:25:39 DevOps Stages
00:29:20 Source Code Management
00:34:53 Continuous Integration
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00:45:28 Containerization
00:49:21 Continuous Monitoring

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🌕 Professional Certificate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT

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

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📌𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: https://www.facebook.com/edurekaIN/
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📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/
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What will you learn as a part of this DevOps course?

This DevOps training course is designed keeping in mind the latest trends in the industry. The course focuses on creating a strong base for various DevOps tools including Git, Jenkins, Docker, Ansible, Kubernetes, Prometheus and Grafana, and Terraform. The training is completely hands-on oriented and designed in a way that will help you in becoming a certified practitioner by providing you an intensified training for the best practices about Continuous Development, Continuous Testing, Configuration Management, including Continuous Integration and Continuous Deployment and finally Continuous Monitoring of the software throughout its development life cycle.

What are the pre-requisites for this DevOps Certification Course?
Any Scripting Language Knowledge
Linux Fundamentals
To help you brush up these skills, you will get the following self-paced modules as pre-requisites in your LMS:
Python Scripting
Linux Fundamentals

Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.

Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.

8K HDR ● Joker Entry Scene (Dark Knight) ● 5.1 Audio
The Dark Knight (2008)
Scene: Bank Heist
Storyline: When the menace known as the Joker wreaks havoc and chaos on the people of Gotham, Batman must accept one of the greatest psychological and physical tests of his ability to fight injustice.

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)

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#TheDarkKnight
#Batman
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#Joker

WATCH ON-DEMAND (No Ads/ Watermarks) @ https://watch.naturerelaxation.....com/videos/turtle-p | ABOUT: A sequel to the hit "Turtle Paradise" (https://youtu.be/VReCpkav3RY), this Part 2 film immerses viewers on a 2 hour long sea turtle filled underwater relaxation experience complete with brand new music by Relax Moods. The spectacular footage was filmed by underwater cinematographers Tilo & Yvonne Kühnast, and features an impeccable 8K resolution for maximum immersion thanks to the Sony Alpha 1. MORE INFO / LINKS:

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A disgraced ex-boxer attempts to make his two sons champion boxers in order to clear his name. One son agrees with this goal, but the other does not, causing family conflicts.

Movie:- Apne (2007) | अपने
Starcast:- Dharmendra, Sunny Deol, Bobby Deol, Shilpa Shetty, Katrina Kaif, Kirron Kher
Directed by:- Anil Sharma
Produced by:- Sangeeta Ahir
Music by:- Himesh Reshammiya

#Apne #Dharmendra #SunnyDeol #BobbyDeol #ShilpaShetty #KatrinaKaif

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Deep Nets come in a large variety of structures and sizes, so how do you decide which kind to use? The answer depends on whether you are classifying objects or extracting features. Let’s take a look at your choices.

Deep Learning TV on
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Twitter: https://twitter.com/deeplearningtv

A forewarning: this section contains several new terms, but rest assured – they will all be explained in the upcoming video clips.

If your goal is to train a classifier with a set of labelled data, you should use a Multilayer Perceptron (MLP) or a Deep Belief Network (DBN). Here are some guidelines if you are targeting any of the following applications:

- Natural Language Processing: use a Recursive Neural Tensor Network (RNTN) or Recurrent Net.
- Image Recognition: use a DBN or Convolutional Net
- Object Recognition: use a Convolutional Net or RNTN
- Speech Recognition: use a Recurrent Net

If your goal is to extract potentially useful patterns from a set of unlabelled data, you should use a Restricted Boltzmann Machine (RBM) or some other kind of autoencoder. For any work that involves the processing of time series data, use a Recurrent Net.

What deep nets do you see a use for? Please comment and let me know your thoughts.

Credits:
Nickey Pickorita (YouTube art) -
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This is a clip from a conversation with Gary Marcus from Oct 2019. New full episodes every Mon & Thu and 1-2 new clips or a new non-podcast video on all other days. You can watch the full conversation here: https://www.youtube.com/watch?v=vNOTDn3D_RI
(more links below)

Podcast full episodes playlist:
https://www.youtube.com/playli....st?list=PLrAXtmErZgO

Podcasts clips playlist:
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Podcast website:
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Podcast on iTunes:
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Podcast RSS:
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Note: I select clips with insights from these much longer conversation with the hope of helping make these ideas more accessible and discoverable. Ultimately, this podcast is a small side hobby for me with the goal of sharing and discussing ideas. For now, I post a few clips every Tue & Fri. I did a poll and 92% of people either liked or loved the posting of daily clips, 2% were indifferent, and 6% hated it, some suggesting that I post them on a separate YouTube channel. I hear the 6% and partially agree, so am torn about the whole thing. I tried creating a separate clips channel but the YouTube algorithm makes it very difficult for that channel to grow unless the main channel is already very popular. So for a little while, I'll keep posting clips on the main channel. I ask for your patience and to see these clips as supporting the dissemination of knowledge contained in nuanced discussion. If you enjoy it, consider subscribing, sharing, and commenting.

Gary Marcus is a professor emeritus at NYU, founder of Robust.AI and Geometric Intelligence, the latter is a machine learning company acquired by Uber in 2016. He is the author of several books on natural and artificial intelligence, including his new book Rebooting AI: Building Machines We Can Trust. Gary has been a critical voice highlighting the limits of deep learning and discussing the challenges before the AI community that must be solved in order to achieve artificial general intelligence.

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