In this video I show you examples of how to perform transfer learning in various ways, either having trained a model yourself, using keras.applications or the TensorFlow hub. I also show how you can then pick out specific chunks of the pretrained models and remove specific layers, and then how you could freeze those layers, add layers on top and perform fine tuning.

Download TensorFlow Hub (w. pip it's pip install tensorflow-hub):
https://anaconda.org/conda-forge/tensorflow-hub

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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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

This video on Project Management Professional covers all the concepts from basics to advanced. Also, it covers all the information about Project Management like what Project Management is ?, what is A Project ?, what are the Components of Project Management ?, What is A Project Life Cycle ?, and what are the Key Focus Areas in Project Management?

These are the facts we will be discussing in this video:
00:00 Introduction
01:34 What is Project Management?
02:38 What is A Project?
03:15 Components of Project Management
05:14 What is A Project Life Cycle?
09:10 Key Focus Areas in Project Management

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#WhatIsPMP #PMP #ProjectManagementProfessional #ProjectManagement #LearnProjectManagement #PMPCertification #Simplilearn

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The PMP certification is the global gold standard for project management professionals. Keep abreast of the changes in the project management practices updated in the PMBOK guide - 6th edition and pass the PMP® exam on your first attempt with Simplilearn’s new PMP course. The course covers new trends, emerging practices, and tailoring considerations, and places a greater emphasis on strategic and business knowledge. It also includes a new section on the role of the project manager.

PMP Certification Course Overview
The course covers new trends, emerging practices, tailoring considerations, and core competencies required of a Project Management professional. Placing a greater emphasis on strategic and business knowledge, this course also includes a new section on the role of the project manager in both large and small companies.

PMP Course Key Features:
- 35 contact hours/PDUs
- 8 industry case studies, 20 industry-based scenarios
- 6 hands-on projects, 7 simulation test papers (200 questions each)

Eligibility:
The PMP® certification is an essential professional requirement for senior project manager roles across all industries. The course is best suited for: Project Managers, Associate/Assistant Project Managers, Team Leads/Team Managers, Project Executives/Project Engineers, Software Developers, and Any professional aspiring to be a Project Manager.

Pre-requisites:
You should have a secondary degree (i.e. high school diploma, associate’s degree, or the global equivalent) with 7,500 hours of leading and directing projects along with 35 hours of project management education. OR You should have a four-year degree with 4,500 hours of leading and directing projects along with 35 hours of project management education.

Learn more at: https://www.simplilearn.com/post-graduate-diploma-management?utm_campaign=WhatIsPMP&utm_medium=Description&utm_source=youtube

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Get the Simplilearn app: https://simpli.app.link/OlbFAhqMqgb

Learn how to use Pandas and Python for Data Analysis, to Data Cleaning and Data Wrangling. You will learn by creating real life projects interactively to help you take the next step in your Data Science Career.

Learn more about the projects at https://www.datawars.io/freecodecamp

⚠️ Important! We encourage you to try to resolve the projects by yourself first! And watch the solution afterwards ⚠️

💻 Course created by Santiago Basulto from DataWars.
🔗 Find more interactive Data Science projects solve at: https://www.datawars.io

⭐️ Projects Covered ⭐️
⌨️ (0:00:00) Introduction

⌨️ (0:02:22) DataFrames practice: working with English Words [🟢 Easy]
This project focuses on the basics of pandas DataFrames, including understanding its structures and modifying them. The data we're using is a big dictionary of english words.
🔗 Solve the project by yourself: https://www.datawars.io/fcc-english-words

⌨️ (0:33:26) Filtering and sorting with Pokemon data [🟢 Easy]
This project focuses on the main tasks of Data Analysis: filtering and sorting and question/answering. The dataset includes information of pokemons from all generations (to make it more fun!)
🔗 Solve the project by yourself: https://www.datawars.io/fcc-filtering-pokemon

⌨️ (1:24:30) The Birthday Paradox in the NBA [🟡 Intermediate]
The Birthday Paradox answers the question: how many people do you need in the same room in order to have a probability of at least 50% that two people share a birthday. The answer is astonishing! You'll use your findings to find which teams in the NBA share player's birthdays.
🔗 Solve the project by yourself: https://www.datawars.io/fcc-birthday-nba

⌨️ (1:55:28) Matching Strings by Similarity using Levenshtein distance [🟡 Intermediate]
One of the most challenging tasks of Data Cleaning is dealing with Strings. This project is all about string handling and advanced techniques, as using the Combinatorics and the Levenshtein distance to find irregularities in company names.
🔗 Solve the project by yourself: https://www.datawars.io/fcc-string-similarity

⌨️ (2:24:15) Data Cleaning with Google Playstore dataset [🟡 Intermediate]
An all-encompassing project that covers all the aspects of Data Cleaning, including: finding and fixing null values, duplicate values, outliers and more. The data was scraped from the Google Playstore which means that is full of irregularities. The project finishes with some Data Analysis tasks!
🔗 Solve the project by yourself: https://www.datawars.io/fcc-data-cleaning-playstore

⌨️ (3:18:34) Premier League Match Analysis [🔴 Advanced]
This project increases the complexity of your Data Analysis skills, as it combines Data Cleaning, with some analysis based on grouping operations. The dataset comes from the Premier League, the top-division Football/Soccer league in England.
🔗 Solve the project by yourself: https://www.datawars.io/fcc-premier-league

⌨️ (3:53:46) NBA 2017 season analysis: joining and groupby practice [🔴 Advanced]
This project puts your Data Wrangling skills to a test, by asking you to merge different dataframes, clean them, and finish doing some analysis and question/answering. The dataset contains the full information of 2017 NBA statistics.
🔗 Solve the project by yourself: https://www.datawars.io/fcc-nba-analysis


🎉 Thanks to our Champion and Sponsor supporters:
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🔥 Post Graduate Program In Project Management: https://www.simplilearn.com/pgp-project-management-certification-training-course?utm_campaign=1June2023ProjectManagementKnowledgeAreasExplained&utm_medium=DescriptionFF&utm_source=youtube

In this video we will cover the *Project management knowledge areas.* The 10 knowledge areas of project management includes - Project integration management, Project scope management, Project time management, Project cost Management, Project quality management, Project human resources management, Project communication management, Project risk management, Project stakeholder management and more.
✅ Why get PMP certified - Obtaining a PMP certification expands job opportunities in project management. Roles like project manager, program manager, and PMO manager become accessible across industries such as IT, construction, healthcare, finance, and manufacturing. PMP-certified professionals earn competitive salaries, with a 20% higher pay compared to non-certified project managers. In India, PMP salaries range from INR 12 lakh to INR 17 lakh per annum, while in the US, it's between $52,561 and $132,121 per year. Boost your career prospects by enhancing your project management expertise with PMP certification.

00:00 Project Management Knowledge Areas
05:17 Project management process
13:58 Project integration management
50:25 Project scope management
01:20:01 Project time management
02:01:09 Project cost Management
02:25:26 Project quality management
02:48:16 Project human resources management
03:13:05 Project communication management
03:25:24 Project risk management
03:33:28 Project stakeholder management

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#ProjectManagementKnowledgeAreas #KnowledgeAreasofProjectManagement #ProjectManagementKnowledgeAreasExplained #PMP #Simplilearn

➡️ Post Graduate Program In Project Management
This project management certificate program will cover strategization and management - project, program, risk, quality, complexity management, customer-centric digital transformation, PMO implementation, and agile and scrum skills; and allow you to earn 146 Professional Development Units (PDUs) for maintaining CCR for PMI certifications.

✅ Key Features
- Receive Post Graduate Program Certificate and Alumni Association Membership from UMass Amherst
- 8X higher live interaction in live online classes by industry experts
- Earn 146 PDUs for PMI related certifications with 35 contact hours and 4 simulation examinations to ace the PMP exam
- 100% Money back guarantee
- Live classes entirely delivered by Simplilearn's expert instructors
- Capstone projects from 3 domains, 4 Harvard case studies, 17 hands-on projects and 15+ simulation exams

✅ Skills Covered
- Project Management
- Agile Management
- Project Risk Management
- Quality Management
- Lean six sigma green belt LSSGB
- Digital Transformation
- Design Thinking
- Customer experience design
- Leadership Skills

✅ Enroll Course Now: https://www.simplilearn.com/pgp-project-management-certification-training-course?utm_campaign=1June2023ProjectManagementKnowledgeAreasExplained&utm_medium=Description&utm_source=youtube
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In this video on What Is LangChain,we will cover what LangChain is, why we need LangChain, how does LangChain work, and some applications of LangChian and at last we will see the demo part in which we covered how you chain your outside resources using LLM's (OpenAI Chatgpt). LangChain is an open-source framework that allows you to build applications using LLMs (Large Language Models).

Below are the topics covered in this LangChain tutorial:

00:00 LangChain Explained in 14 Minutes
00:04 Introduction to LangChain
02:48 What is LangChain ?
03:43 Why do we need LangChain?
04:34 How does LangChain Work?
05:43 Use cases of LangChain
07:13 LangChain Demo Explained

✅ Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

#LangChain #AITrainingforBeginners #AITraining #AI #ArtificialIntelligence #Simplilearn

➡️ About Caltech Post Graduate Program In AI And Machine Learning

Designed to boost your career as an AI and ML professional, this program showcases Caltech CTME's excellence and IBM's industry prowess. The artificial intelligence course covers key concepts like Statistics, Data Science with Python, Machine Learning, Deep Learning, NLP, and Reinforcement Learning through an interactive learning model with live sessions.

✅ Key Features

- Simplilearn's JobAssist helps you get noticed by top hiring companies
- PGP AI & ML completion certificate from Caltech CTME
- Masterclasses delivered by distinguished Caltech faculty and IBM experts
- Caltech CTME Circle Membership
- Earn up to 22 CEUs from Caltech CTME
- Online convocation by Caltech CTME Program Director
- IBM certificates for IBM courses
- Access to hackathons and Ask Me Anything sessions from IBM
- 25+ hands-on projects from the likes of Twitter, Mercedes Benz, Uber, and many more
- Seamless access to integrated labs
- Capstone projects in 3 domains
- 8X higher interaction in live online classes by industry experts

✅ Skills Covered

- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- Recommendation Systems
- NLP
- Neural Networks
- GANs
- Deep Learning
- Reinforcement Learning
- Speech Recognition
- Ensemble Learning
- Computer Vision

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🔥🔥 *Interested in Attending Live Classes? Call Us:* IN - 18002127688 / US - +18445327688

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 𝐂𝐨𝐮𝐫𝐬𝐞 - 𝐁𝐞𝐠𝐢𝐧𝐧𝐞𝐫𝐬 𝐭𝐨 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝: https://www.edureka.co/openai-....chatgpt-training-cou
This 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 𝐓𝐮𝐭𝐨𝐫𝐢𝐚𝐥 is intended as a Crash Course on 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 for Beginners. 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 has been growing in popularity exponentially. But, 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 is still not known to many people. In this video, I aim to show you the different ways in which you can use 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 for yourself.
The following topics are covered in this 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 Tutorial video:
00:00:00 Introduction to ChatGPT
00:01:03 About OpenAI
00:01:40 What is ChatGPT
00:01:58 Risks of ChatGPT
00:02:18 How to use ChatGPT
00:03:10 ChatGPT Interface
00:05:12 Using prompts in ChatGPT
00:07:31 Tricking ChatGPT to give wrong answers!
00:08:00 Conversation threads in ChatGPT
00:08:46 Shopping List using ChatGPT
00:10:36 ChatGPT for Coding
00:12:35 Using ChatGPT for Writing Content
00:13:43 Conclusion

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📝Feel free to share your comments below.📝

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬

🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC
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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬

🌕 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT

🔵 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh


📌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/

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

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🔥Professional Certificate Program in Generative AI and Machine Learning - IITG (India Only) - https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=3eT5gjnNgUI&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Advanced Executive Program In Applied Generative AI - https://www.simplilearn.com/applied-generative-ai-course?utm_campaign=3eT5gjnNgUI&utm_medium=DescriptionFirstFold&utm_source=Youtube

This Gen AI Full Course video by Simplilearn will help you learn everything about Generative AI (Gen AI). The Gen AI full Course will begin with an in-depth exploration of generative artificial intelligence and its applications. It starts with an explanation of what Gen AI is, followed by the evolution of AI and a detailed roadmap for mastering generative AI. The course highlights future AI trends, top AI technologies, and career opportunities in the field. It includes hands-on machine learning projects for practice and tutorials on LangChain, deep learning, and advanced AI concepts like transformers, LSTMs, and recurrent neural networks. Additional topics include OpenAI tools such as ChatGPT, SearchGPT, and Sora, along with benchmarking large language models (LLMs) and generative adversarial networks. Reinforcement learning and machine learning tutorials are also covered, culminating with interview questions to prepare learners for AI-related roles.

The Full course covers the following topics:

00:00:00 Introduction to Gen AI Full Course
00:00:45 What is Gen AI
00:11:17 Evolution of AI
00:21:39 Roadmap Gen AI
00:37:18 AI Trends for the Fututre
00:37:59 Top 10 AI Technologies
00:47:50 AI Carrers
00:55:05 ML Projects For Practice
01:15:06 Wht is Langchain
01:34:03 Deep Learning Tutorial For Beginners
01:49:27 Open ai chatgpt o1 model
01:57:44 Search GPT
02:08:40 Openai sora
02:17:33 LLM Benchmarkeing
03:02:10 Generative Adversarial Tutorial
03:08:22 LSTM
03:09:23 Transformers in AI
03:17:04 Introduction to LLM
04:18:17 What is Machine Learning
05:14:49 Machine Learning Tutorial
07:20:12 Reinforcement Learning
08:49:51 Recurrent Neural Network
09:09:42 CHatgpt analyse
09:21:49 MAchine Learning Interview questions

✅ Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out the Artificial Intelligence training videos: https://youtube.com/playlist?l....ist=PLEiEAq2VkUULa5a

#genai #generativeai #artificialintelligence #ai #machinelearning #llm #simplilearn #2025

➡️ About Professional Certificate Program in Generative AI and Machine Learning

Dive into the future of AI with our Generative AI & Machine Learning course, in collaboration with E&ICT Academy, IIT Guwahati. Learn tools like ChatGPT, OpenAI, Hugging Face, Python, and more. Join masterclasses led by IITG faculty, engage in hands-on projects, and earn Executive Alumni Status.

Key Features:
✅ Program completion certificate from E&ICT Academy, IIT Guwahati
✅ Curriculum delivered in live virtual classes by seasoned industry experts
✅ Exposure to the latest AI advancements, such as generative AI, LLMs, and prompt engineering
✅ Interactive live-virtual masterclasses delivered by esteemed IIT Guwahati faculty
✅ Opportunity to earn an 'Executive Alumni Status' from E&ICT Academy, IIT Guwahati
✅ Eligibility for a campus immersion program organized at IIT Guwahati
✅ Exclusive hackathons and “ask-me-anything” sessions by IBM
✅ Certificates for IBM courses and industry masterclasses by IBM experts
✅ Practical learning through 25+ hands-on projects and 3 industry-oriented capstone projects
✅ Access to a wide array of AI tools such as ChatGPT, Hugging Face, DALL-E 2, Midjourney and more
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies

Skills Covered:
✅ Generative AI
✅ Prompt Engineering
✅ Chatbot Development
✅ Supervised and Unsupervised Learning
✅ Model Training and Optimization
✅ Model Evaluation and Validation
✅ Ensemble Methods
✅ Deep Learning
✅ Natural Language Processing
✅ Computer Vision
✅ Reinforcement Learning
✅ Machine Learning Algorithms
✅ Speech Recognition
✅ Statistics

Learning Path:
✅ Program Induction
✅ Programming Fundamentals
✅ Python for Data Science (IBM)
✅ Applied Data Science with Python
✅ Machine Learning
✅ Deep Learning with TensorFlow (IBM)
✅ Deep Learning Specialization
✅ Essentials of Generative AI, Prompt Engineering & ChatGPT
✅ Advanced Generative AI
✅ Capstone
Electives:
✅ ADL & Computer Vision
✅ NLP and Speech Recognition
✅ Reinforcement Learning
✅ Academic Masterclass
✅ Industry Masterclass

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This Claude Code Tutorial teaches you what I wish I knew as a software developer about Claude Code before I started AI coding. Get started here: https://clau.de/kevinstratvert

You can vibe code with other tools, or you can build durable software with tools like Claude Code. First, I'll walk you through how to install it on Mac or Windows.

Next, you’ll connect Claude Code to VS Code and learn how to build your first app - including how best to structure your prompts and what details are useful for Claude to know.

You'll review Claude's Plan mode like a senior engineer and learn how to work faster once you trust the changes it makes.

Next, you'll learn how to use Claude Code with an existing codebase - focusing on how to get it to analyze your coding standards so future changes are consistent. (Heavy use of CLAUDE.md)

Finally, you’ll execute a major architecture change and learn how best to work with Claude Code throughout the process.

Host: David DeWinter
Sponsor: Anthropic

📚 RESOURCES
Commands and Prompts to Copy ➜ https://drive.google.com/drive..../folders/1ZFRZcOCfep
CLAUDE.md guidance ➜ http://humanlayer.dev/blog/wri....ting-a-good-claude-m
Claude Code Best Practices by Anthropic ➜ https://www.anthropic.com/engi....neering/claude-code-

⌚ TIMESTAMPS
0:00 - Install Claude Code
2:08 - Create New App
7:56 - Existing App
11:48 - Architecture Change
14:31 - Your Next Steps

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Presented at Code w/ Claude by @anthropic-ai on May 22, 2025 in San Francisco, CA, USA.

Speakers:
Cal Rueb, Member of Technical Staff at @anthropic-ai

A true hybrid camera, Canon EOS Cinema meets EOS photography in the compact and lightweight EOS R5 C. In this video, Samuel Bouret gives us a hands-on overview of this 8K 60p RAW capable, 4K 120p Slow Motion, 45 Megapixel full-frame camera.

✘ Canon EOS R5 C Full-frame Cinema Camera
https://www.adorama.com/car5cb.html

Key Features:
► Video controls for the dedicated video professional
► Supports 8K/60P Internal RAW Recording
► Internal Cooling Fan Enables Non-stop 8K/60P Recording
► Expanded Interface for Professional Needs
► Carries on the Ergonomic EOS Design
► Full-featured 13 Assignable Buttons
► 8K Sensor and DIGIC X Processor
► Internal Cinema RAW Light up to 8K/60P
► Supports 8K HDR Recording (HLG/PQ)
► Wide Variety of Recording Formats
► Simultaneously Record Different Formats
► XF-AVC and MP4 Codecs for 10-bit 4:2:2 Video
► 4K and 2K Oversampling
► HDMI 8K RAW Output to Compatible Recorders
► Up to 4K 120P Slow and Fast Motion Recording Mode in 4:2:2 10-bit
► Simultaneous Audio Recording Enabled with HFR
► Canon Log 3 Expands Expressive Possibilities
► Enhanced Image Stabilization
► Canon VR with RF5.2mm F2.8 L Dual Fisheye Lens Support and Workflow
► Dual Pixel CMOS AF with iTR AF X
► High Still-Image Quality Featuring a 45 Megapixel Full-frame CMOS Sensor and DIGIC X Processor
► DIGIC X Image Processor with an ISO range of 100-51200; Expandable to 102400
► High-Speed Continuous Shooting of up to 12 fps with Mechanical Shutter and up to 20 fps Electronic (Silent) Shutter
► The Same Subject Detection and Tracking AF as the EOS R5, Even at Shooting Speeds as Fast as 20 fps
► AF Area Flexibility

→ Article:

Canon Launches New EOS R5C 8K Cinema Camera, and Firmware Updates to the EOS C7O
https://www.adorama.com/alc/ca....non-eos-r5c-cinema-c

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#CanonR5C #8KCinema #Adorama

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THANKS SO MUCH FOR WATCHING!

CHROMA GALAXIES is the total of my expertise in designing landscapes and otherworldly sceneries with paint. Following the script of creativeblack from Giantstep, I shot a total of almost 35 Terabytes in 8K Raw Video over a period of 8 months, including the complete set of inks and fluids, macro lenses, lights and motion control. All scenes were created on paper.

The visuals are accompanied by a composition from Tristan Barton. Find out more about his outstanding work here: https://www.tristanbartonmusic.com/

_________________________________________________________
+++ My Channel: https://www.youtube.com/channe....l/UCjcjr8OhwzA1cvG_1 +++
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+++ My Website: http://www.terracollage.com +++
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CHROMA GALAXIES is available for licensing in 4K and 8K, both SDR and HDR.

Fluid Art: Roman De Giuli
Music: Tristan Barton
Concept: Giantstep // Creative Black // Soyoung Kim
Production: Terracollage
Assistant: Daniel Augustin

Many thanks to all people who have been involved in this project!

Terracollage // Experimental Fluid Art and Macro Cinematography // Licensing // Production // 8K // HDR

http://www.terracollage.com
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NVIDIA announced its new CPU today, a collaboration with ARM yielding the "Grace" CPU. The company is also releasing new RTX GPUs (the A4000, A5000, A6000).
Sponsor: Buy Corsair's 5000D Airflow Case on Amazon (https://geni.us/cnVP60)

We're already half-way through our initial new GN 'Volt' Large Modmat inventory. Grab one on the store if you want it this round: https://store.gamersnexus.net/....products/modmat-volt
You can also pick up an Original Modmat (also in stock & shipping) on the store: https://store.gamersnexus.net/products/modmat

NVIDIA's GTC 2021 conference saw the unveil of a series of new GPUs for professionals and data center applications, but all of these were overshadowed by NVIDIA's renewed interest in the CPU space. NVIDIA has been trying to purchase ARM since 2020 (currently pending regulatory approval), and in the meantime, the two organizations are working together to produce the new NVIDIA Grace CPU for data center and server applications. The NVIDIA Grace CPU aims to improve bandwidth of CPU-to-GPU communications and CPU-to-CPU communications, outperforming traditional PCIe signaling with NVIDIA's NVLink.

The GPUs announced are part of the former Quadro line, branding that NVIDIA is slowly moving away from. The A5000 and A4000 GPUs are in the high-end of Ampere RTX cards, with mobile versions also available in Max-Q laptops.

Separately from all of this, NVIDIA talked more about its Omniverse software and a few RTX games, including Black Myth: Wukong, Boundary, Narak: Bladepoint, and Bright Memory. Cyberpunk also got a comically short pseudo-reference.

Like our content? Please consider becoming our Patron to support us: http://www.patreon.com/gamersnexus

TIMESTAMPS

00:00 - NVIDIA GTC 2021 Announcements
01:03 - NVIDIA's New "Grace" ARM CPU
05:11 - New GPUs from NVIDIA: A4000, A5000
10:51 - A10, A16, & Omniverse

** Please like, comment, and subscribe for more! **

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Editorial, Host: Steve Burke
Editorial: Patrick Lathan
Video: Andrew Coleman

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In this video, we will cover AI vs. ML vs. DL vs. Data Science in detail. From this video, you will be able to understand the difference between AI, ML, DL, and Data Science.
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In this What Are Transformers In Artificial Intelligence tutorial, we'll delve into the world of Transformers in AI. We'll unravel the intricate workings of these powerful models, from their foundational architecture to their applications in natural language processing, computer vision, and beyond. By the end, you'll grasp not only how Transformers operate but also why they've become a cornerstone in modern AI research and development. So, buckle up as we embark on this enlightening exploration through the realm of Transformers in AI.

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

🔥Edureka Tensorflow Training (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"):
https://www.edureka.co/ai-deep....-learning-with-tenso
This Edureka "𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐞𝐫𝐬 𝐍𝐞𝐮𝐫𝐚𝐥 𝐍𝐞𝐭𝐰𝐨𝐫𝐤𝐬 𝐄𝐱𝐩𝐥𝐚𝐢𝐧𝐞𝐝" video will help you in understanding why we need Transformers and what exactly it is. It also explains few issues with training a Recurrent Neural Network and how to overcome those challenges using Transformers.

🔹Check our complete Deep Learning With TensorFlow playlist here: https://goo.gl/cck4hE
🔹Check our complete Deep Learning With TensorFlow Blog Series: http://bit.ly/2sqmP4s
🔴Do subscribe to our channel and hit the bell icon to never miss an update from us in the future: https://goo.gl/6ohpTV

00:00 Introduction
00:41 Introduction to Deep Learning
04:48 NLP Using RNN
06:16 Scaling up NLP Task
08:13 Transformers Walk Through
10:16 Top Language Models


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00:00 Agenda
01:28 Introduction to Deep Learning
08:24 What is Deep Learning
13:02 NLP using RNN
15:59 Scaling up NLP task
16:49 Transformers WalkThrough
19:51 Top Language Models

#Edureka #EdurekaDeepLearning #Transformersxplained #TransformerNeuralNetworks #DeepLearningLanguageModels #DeepearningTutorial #EdurekaTraining

---------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧---------

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How it Works?

1. This is 21 hrs of Online Live Instructor-led course. Weekend class: 7 sessions of 3 hours each.
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate!

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About the Course
Edureka's Deep learning with Tensorflow course will help you to learn the basic concepts of TensorFlow, the main functions, operations and the execution pipeline. Starting with a simple “Hello Word” example, throughout the course you will be able to see how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions. This concept is then explored in the Deep Learning world. You will evaluate the common, and not so common, deep neural networks and see how these can be exploited in the real world with complex raw data using TensorFlow. In addition, you will learn how to apply TensorFlow for backpropagation to tune the weights and biases while the Neural Networks are being trained. Finally, the course covers different types of Deep Architectures, such as Convolutional Networks, Recurrent Networks and Autoencoders.

Delve into neural networks, implement Deep Learning algorithms, and explore layers of data abstraction with the help of this Deep Learning with TensorFlow course.

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Why Learn Deep Learning With TensorFlow?
TensorFlow is one of the best libraries to implement Deep Learning. TensorFlow is a software library for numerical computation of mathematical expressions, using data flow graphs. Nodes in the graph represent mathematical operations, while the edges represent the multidimensional data arrays (tensors) that flow between them. It was created by Google and tailored for Machine Learning. In fact, it is being widely used to develop solutions with Deep Learning.

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

Want to learn more? I’m hosting a 6-week live BootCamp for AI Builders.
👉 Save 40% on the New Years Cohort: https://maven.com/shaw-talebi/....ai-builders-bootcamp

This is the 6th video in a series on using large language models (LLMs) in practice. Here, I review key aspects of developing a foundation LLM based on the development of models such as GPT-3, Llama, Falcon, and beyond.

More Resources:
▶️ Series Playlist: https://www.youtube.com/playli....st?list=PLz-ep5RbHos Read more: https://towardsdatascience.com..../how-to-build-an-llm

[1] BloombergGPT: https://arxiv.org/pdf/2303.17564.pdf
[2] Llama 2: https://ai.meta.com/research/p....ublications/llama-2-
[3] LLM Energy Costs: https://www.statista.com/stati....stics/1384401/energy
[4] arXiv:2005.14165 [cs.CL]
[5] Falcon 180b Blog: https://huggingface.co/blog/falcon-180b
[6] arXiv:2101.00027 [cs.CL]
[7] Alpaca Repo: https://github.com/gururise/AlpacaDataCleaned
[8] arXiv:2303.18223 [cs.CL]
[9] arXiv:2112.11446 [cs.CL]
[10] arXiv:1508.07909 [cs.CL]
[11] SentencePience: https://github.com/google/sent....encepiece/tree/maste
[12] Tokenizers Doc: https://huggingface.co/docs/tokenizers/quicktour
[13] arXiv:1706.03762 [cs.CL]
[14] Andrej Karpathy Lecture: https://www.youtube.com/watch?v=kCc8FmEb1nY&t=5307s
[15] Hugging Face NLP Course: https://huggingface.co/learn/n....lp-course/chapter1/7
[16] arXiv:1810.04805 [cs.CL]
[17] arXiv:1910.13461 [cs.CL]
[18] arXiv:1603.05027 [cs.CV]
[19] arXiv:1607.06450 [stat.ML]
[20] arXiv:1803.02155 [cs.CL]
[21] arXiv:2203.15556 [cs.CL]
[22] Trained with Mixed Precision Nvidia: https://docs.nvidia.com/deeple....arning/performance/m
[23] DeepSpeed Doc: https://www.deepspeed.ai/training/
[24] https://paperswithcode.com/method/weight-decay
[25] https://towardsdatascience.com..../what-is-gradient-cl
[26] arXiv:2001.08361 [cs.LG]
[27] arXiv:1803.05457 [cs.AI]
[28] arXiv:1905.07830 [cs.CL]
[29] arXiv:2009.03300 [cs.CY]
[30] arXiv:2109.07958 [cs.CL]
[31] https://huggingface.co/blog/ev....aluating-mmlu-leader
[32] https://www.cs.toronto.edu/~hi....nton/absps/JMLRdropo

--
Homepage: https://shawhintalebi.com/
Book a call: https://calendly.com/shawhintalebi

Intro - 0:00
How much does it cost? - 1:30
4 Key Steps - 3:55
Step 1: Data Curation - 4:19
1.1: Data Sources - 5:31
1.2: Data Diversity - 7:45
1.3: Data Preparation - 9:06
Step 2: Model Architecture (Transformers) - 13:17
2.1: 3 Types of Transformers - 15:13
2.2: Other Design Choices - 18:27
2.3: How big do I make it? - 22:45
Step 3: Training at Scale - 24:20
3.1: Training Stability - 26:52
3.2: Hyperparameters - 28:06
Step 4: Evaluation - 29:14
4.1: Multiple-choice Tasks - 30:22
4.2: Open-ended Tasks - 32:59
What's next? - 34:31