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In this video I show you how to code DCGAN in TensorFlow. Code reference for the video: https://keras.io/examples/gene....rative/dcgan_overrid although honestly I pretty much changed all of the code...
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An updated deep learning introduction using Python, TensorFlow, and Keras.
Text-tutorial and notes: https://pythonprogramming.net/....introduction-deep-le
TensorFlow Docs: https://www.tensorflow.org/api_docs/python/
Keras Docs: https://keras.io/layers/about-keras-layers/
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In today's episode of Gear Focus Friday, we take a look at the brand new Z-Cam E2-F8 8K Full Frame Camera. This little guy is incredible!! We haven't had too much time with it yet, but we show you some sample footage, post editing advantages of shooting 8K video and more. A full review and more sample footage coming very soon, so stay tuned and subscribe to our channel to be notified!
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We want to give a huge shout out to Jerald "Jay" Kerr for his help shooting as well as putting together that B-Roll edit for us. You can find more of Jay's work here:
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IG: @jaymastermind
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Gear Focus is an online marketplace to buy and sell both new and used photography and videography camera related gear and equipment. The website was founded by photographers and videographers who saw the need for better solution for buying and selling camera gear.
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Enter our Current Giveaway
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Machine learning vs Artificial Intelligence vs Deep Learning
Python Core
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Video in English https://goo.gl/df7GXL
Video in Tamil https://goo.gl/LT4zEw
Python Web application
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Videos in Tamil https://goo.gl/rRjs59
Videos in English https://goo.gl/spkvfv
Python NLP
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Videos in Tamil https://goo.gl/LL4ija
Videos in English https://goo.gl/TsMVfT
Artificial intelligence and ML
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Videos in Tamil https://goo.gl/VNcxUW
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ChatBot
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Videos in Tamil https://goo.gl/JU2WPk
Videos in English https://goo.gl/KUZ7PY
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Technology in Tamil & English
notes: https://github.com/ShapeAI/Pyt....hon-and-Machine-Lear
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You’ll learn how ChatGPT works and this will provide many benefits, such as helping you to use the model more effectively, evaluate its outputs more critically, and staying informed about the latest developments in the field so you are better prepared to take advantage of new opportunities.
ChatGPT is a type of natural language processing model (NLP) known as a Generative Pretrained Transformer (GPT) developed by OpenAI. These are the two big terms we will focus on in this video. On top of that you will also get a base understanding of common Machine Learning techniques like supervised learning, and reinforcement learning, which were used to make ChatGPT as good as it is.
Use ChatGPT here: https://chat.openai.com/
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Further Sources:
Scale AI, OpenAI's Greg Brockman: The Future of LLMs, Foundation & Generative Models (DALL·E 2 & GPT-3): https://youtu.be/Rp3A5q9L_bg
Enjoy the peaceful and colorful nature views in beautiful 4K UHD. Helps Relax & Fall Asleep FAST! 2 hours long. Relax with beautiful and colorful Macaws Parrots like the Scarlet Macaw. Sounds for relaxation, sleep, meditation, yoga, study. Sit back, relax and enjoy :)
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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐁𝐢𝐠 𝐃𝐚𝐭𝐚 𝐇𝐚𝐝𝐨𝐨𝐩 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎) : https://www.edureka.co/big-dat....a-hadoop-training-ce
This Edureka Big Data tutorial ( Big Data Hadoop Blog series: https://goo.gl/LFesy8 ) helps you to understand Big Data in detail. This tutorial will be discussing about evolution of Big Data, factors associated with Big Data, different opportunities in Big Data. Further it will discuss about problems associated with Big Data and how Hadoop emerged as a solution. Below are the topics covered in this Big Data tutorial:
00:00:00 Introduction
00:00:21 Agenda
00:01:20 Evolution of Technology
00:04:06 Social Media
00:05:38 Other Factors
00:06:36 What is Big Data
00:07:46 Volume
00:08:16 Variety
00:09:23 Velocity
00:12:05 Veracity
00:12:53 5 V's of Big Data
00:13:23 Big Data as an opportunity
00:16:44 Big Data Collected by Smart Meter
00:17:20 Problem with Smart Meter Big Data
00:17:42 How Smart Meter Big Data Is Analysed
00:20:14 ONCOR using IBM Smart Meter Solution
00:23:08 Problems with Big Data
00:28:25 Hadoop Distributed File System
00:29:47 Storing Data (Solution)
00:31:13 Store Different kinds of Data (Solution)
00:31:49 Processing Data Faster (Solution)
00:33:18 Hadoop Ecosystem
00:36:05 Big Data Hadoop Certification Training
00:38:36 Some Big Data & Hadoop Projects @ Edureka
00:40:31 Session In A Minute
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Description: This video is based on the Excel Full course. This Excel Full Course video will help you understand the fundamentals of Microsoft Excel, spreadsheet functionalities, and various crucial functions available in Excel, such as lookup, H lookup, sumif/s, counif/s, iferror, and others. Finally, you will see some most frequently asked interview questions based on Microsoft Excel.
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What is Microsoft Excel?
Excel is one of the best applications available for creating spreadsheets to crunch numbers and dashboard reports and storing and administering data. This software first appeared on the scene in 1987, and since then, it has grown to become one of the most popular software for homes or businesses. Excel can be used for data entry to store data in the form of a table, such as recording your daily expenses or business expenditure. It can also be used for inventory management.
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Jumpstart your career as a Business Analysis Professional with this comprehensive curriculum covering the concepts of business analysis tools and techniques, statistics fundamentals, interaction with databases using SQL, and data visualization using Excel, Power BI, and Tableau.
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This HTML full course will cover what is HTML, HTML classes and IDs, dropdown in HTML, content boxes in HTML, HTML image slider, HTML navigation bar, HTML registration form, and a web design tutorial using HTML.
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00:00:00 HTML Full Course Introduction
00:01:03 HTML in 10 minutes
00:08:57 HTML Classes and IDs
00:18:26 Drop Down in HTML
00:28:06 Content Boxes in HTML
00:47:39 HTML Image Slider
01:16:06 HTML Navigation Bar
01:36:04 HTML Registration Form
01:51:45 HTML Quiz
02:38:51 Web Design Tutorial
03:55:51 HTML Interview Questions
04:09:40 How to become a Front End Developer in 2021
04:17:40 Web development roadmanp 2021
04:25:56 Software Developer vs Web Developer
04:35:03 Web Developer vs Web Designer
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What is HTML (HyperText Markup Language)?
HTML is the most widely used language for developing web applications. It was created by Berners-Lee in the year 1991 but was first published in 1995. HTML 4 was a popular breakthrough version and got published in 1999. This version gained a lot of popularity and was adopted all over the globe for developing web applications. HTML 5 is the current version and was published in 2012. HTML is critical for web development, and if you’ve ever thought about choosing that career path, you’d unquestionably have come across this language. And that’s probably why you are here in the first place.
HTML stands for HyperText Markup Language. It is used for creating websites and web applications. Let’s break it down, so we understand the name better:
HyperText: HyperText refers to the “text wrapped within a text.” It is very similar to hyperlinks and contains an underlying text that, when clicked, redirects to a new webpage.
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Facebook marketing is a form of digital marketing that involves using Facebook's advertising platform to promote a product or service. It involves creating targeted ads that reach a specific audience based on their demographic, interests, and behavior. Advertisers can choose from a range of ad formats, including image and video ads, and can set specific goals for their campaign, such as driving website traffic or increasing brand awareness. Facebook also provides tools for measuring the effectiveness of a campaign, allowing advertisers to track metrics such as impressions, clicks, and conversions. Successful Facebook marketing campaigns require careful planning, targeting, and creative execution. Digital Marketers mainly use Facebook ads as their core marketing strategy to grow their business.
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The Google Cloud Platform Tutorial video will cover all the important concepts of Google Cloud Platform. Google Cloud Platform is a set of cloud computing services provided by Google that runs on the same infrastructure that Google uses for its end-user products like YouTube, Gmail, and more. In this video, we will be looking into what is GCP? GCP tutorial, AWS vs GCP, GCP web hosting, Google cloud ML, GCP fundamentals, Google Cloud Platform Fundamentals (CP100A) Certification Training.
What is GCP?
GCP Tutorial
AWS vs GCP
GCP Web Hosting
Google Cloud ML
Google Cloud Platform Certificate Training
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Simplilearn's Google Cloud Platform (GCP) Architect certification program will empower you with the skills needed to advance your career in cloud architecture and become a certified Google Professional Cloud Architect. The course covers IAM, Networking, cloud storage, and much more. Simplilearn’s online Google Cloud Platform (GCP) Architect certification course introduces you to the flexible infrastructure and platform services provided by Google Cloud Platform. In this course, you will learn how to analyze and deploy infrastructure components such as networks, storage systems, and application services.
Key Features:
1. 100% Money Back Guarantee
2. 20 hours of online self-paced learning
3. 20 demos included
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Eligibility: This Google Cloud Platform Architect course is well-suited for: Software developers, Cloud solutions architects, Systems operators, DevOps engineers
Pre-requisites:
1. Knowledge of Google Cloud Platform fundamentals or any cloud platform is beneficial.
2. Basic knowledge of command-line tools and Linux operating system environments.
3. Prior operations experience in deploying and managing applications, either on-premises or in a public cloud environment.
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MIT Introduction to Deep Learning 6.S191: Lecture 2
Recurrent Neural Networks
Lecturer: Ava Amini
2023 Edition
For all lectures, slides, and lab materials: http://introtodeeplearning.com
Lecture Outline
0:00 - Introduction
3:07 - Sequence modeling
5:09 - Neurons with recurrence
12:05 - Recurrent neural networks
13:47 - RNN intuition
15:03 - Unfolding RNNs
18:57 - RNNs from scratch
21:50 - Design criteria for sequential modeling
23:45 - Word prediction example
29:57 - Backpropagation through time
32:25 - Gradient issues
37:03 - Long short term memory (LSTM)
39:50 - RNN applications
44:50 - Attention fundamentals
48:10 - Intuition of attention
50:30 - Attention and search relationship
52:40 - Learning attention with neural networks
58:16 - Scaling attention and applications
1:02:02 - Summary
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Use this simple trick to quickly train Chat GPT about your business so it can create amazing social media content to help you make more money.
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https://cdn.openai.com/papers/gpt-4.pdf
More here:
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App development: https://twitter.com/zaid/statu....s/163736539552613171
The most beautiful sentence: https://reddit.com/r/ChatGPT/c....omments/121t9b4/the_
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Finds security holes: https://twitter.com/feross/sta....tus/1641548124366987
App design: https://www.usegalileo.ai
📝 Paper with caustics:
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My latest paper on simulations that look almost like reality is available for free here:
https://rdcu.be/cWPfD
Or this is the orig. Nature Physics link with clickable citations:
https://www.nature.com/articles/s41567-022-01788-5
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This Deep Learning full course covers all the concepts and techniques that will help you become an expert in Deep Learning. First, you will learn the basics of Deep Learning and understand how to install TensorFlow, what TensorFlow is, TensorFlow Object detection API works, different Deep Learning frameworks, convolutional neural networks, recurrent neural networks in Python, Deep Learning applications, and look at the essential interview questions.
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Dataset link - https://drive.google.com/drive..../folders/1COH2WuRtru
Below topics are explained in this Deep Learning full course video:
1. Deep Learning
2. Working of neural networks
3. Horus Technology
4. What is Deep Learning?
5. Image Recognition
6. Why do we need Deep Learning?
7. Applications of Deep Learning
8. What is a Neural Network?
9. Biological Neuron vs Artificial Neuron
10. Why are Deep Neural Nets hard to train?
11. Neural Network Prediction
12. Top Deep Learning Libraries
13. Why TensorFlow?
14. What is TensorFlow?
15. What are Tensors?
16. What is a Data Flow graph?
17. Program Elements in TensorFlow
18.TensorFlow program basics
19. Use case Implementation using TensorFlow
20.TensorFlow Object Detection
21. COCO Dataset
22.TensorFlow Object Detection API Tutorial
23. Deep Learning Frameworks
24. Keras
25.PyTorch
26. How image recognition works?
27. How does CNN recognizes images?
28. Types of Recurrent Neural Network
29. Working of LSTMs
30. Deep Learning Applications
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Simplilearn’s Deep Learning course will transform you into an expert in deep learning techniques using TensorFlow, the open-source software library designed to conduct machine learning & deep neural network research. With our deep learning course, you'll master deep learning and TensorFlow concepts, learn to implement algorithms, build artificial neural networks, and traverse layers of data abstraction to understand the power of data and prepare you for your new role as a deep learning scientist.
You can gain in-depth knowledge of Deep Learning by taking our Deep Learning certification training course. With Simplilearn’s Deep Learning course, you will prepare for a career as a Deep Learning engineer as you master concepts and techniques, including supervised and unsupervised learning, mathematical and heuristic aspects, and hands-on modeling to develop algorithms. Those who complete the course will be able to:
1. Understand the concepts of TensorFlow, its main functions, operations, and the execution pipeline
2. Implement deep learning algorithms, understand neural networks, and traverse the layers of data abstraction, which will empower you to understand data like never before
3. Master and comprehend advanced topics such as convolutional neural networks, recurrent neural networks, training deep networks, and high-level interfaces
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Learn to use Astro in this beginner's tutorial. Astro is an all-in-one web framework for building fast, content-focused websites like landing pages, blogs, technical documentation, and more.
✏️ This course was developed by @JamesQQuick
🔗 Longer Astro Course: https://astrocourse.dev/
💻 Code: https://github.com/jamesqquick/astro-course-demo
Astro Docs - https://docs.astro.build/
SSG vs SSR Diagram - https://app.eraser.io/workspac....e/CmsSg90ShrgnuACWRs
⌨️ (0:00:00) Intro
⌨️ (0:00:35) What We'll Cover
⌨️ (0:01:23) Creating an Astro Project
⌨️ (0:06:23) Astro Overview (components, file based routing, css, and more)
⌨️ (0:13:23) Astro Setup in VS Code
⌨️ (0:16:23) Setting Up Tailwind
⌨️ (0:18:23) Updating the Site Layout
⌨️ (0:27:23) Working with Markdown and Content Collections
⌨️ (0:34:23) Querying and Displaying Blog Posts Using Content Collections
⌨️ (0:40:23) Creating Dynamic Routes For Individual Blog Posts
⌨️ (0:46:38) Tailwind Typography Plugin
⌨️ (0:47:53) Optimizing Images
⌨️ (0:52:43) Using the ViewTransitions API
⌨️ (0:54:03) Adding Support for MDX
⌨️ (0:56:23) Deploy to Netlify and Vercel
⌨️ (0:59:23) Enabling SSR in Astro
⌨️ (1:08:53) Astro Server Endpoints
⌨️ (1:12:23) Deploying SSR to Netlify and Vercel
⌨️ (1:16:23) Wrap Up
🎉 Thanks to our Champion and Sponsor supporters:
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Learn how to create and publish an Android app from scratch. In this beginner's course, you will learn to use Kotlin to build and publish a customizable memory game that can save content to Firebase cloud storage.
Play one of the predefined games, or play a custom game created by you or a friend! Create your own memory game by choosing photos from your phone. This project was initially inspired by Paul Hegarty’s iPhone calls (CS193P) taught at Stanford.
➤ Published app: https://play.google.com/store/....apps/details?id=com.
➤ Code in Github: https://github.com/rpandey1234/MyMemory
🔗 Follow Rahul on Twitter: https://twitter.com/rpandey1234
🔗 Follow Rahul on YouTube: https://www.youtube.com/rpandey1234
⭐️ Course Contents ⭐️
⌨️ (0:00:00) Intro + app overview
⌨️ (0:05:40) Create the main layout
⌨️ (0:19:43) Setup the RecyclerView to show memory cards
⌨️ (0:37:15) Add the BoardSize enum + create icons
⌨️ (0:51:45) Create the memory card and game classes
⌨️ (1:01:39) Implement the game logic
⌨️ (1:20:20) Display game info
⌨️ (1:27:45) Add menu options for game control
⌨️ (1:41:59) Use an intent to navigate to the CreateActivity
⌨️ (1:58:04) Build the image grid in the creation flow
⌨️ (2:11:55) Choose image intent
⌨️ (2:30:03) Image upload preparation
⌨️ (2:39:07) Upload to Firebase Storage
⌨️ (2:59:43) Save the memory game to Firebase
⌨️ (3:16:00) Play memory with custom images
⌨️ (3:34:30) Add menu option to download a game
⌨️ (3:45:53) Style updates
⌨️ (3:56:33) Creating a release build
⌨️ (4:04:09) Publishing your app to Google Play
⌨️ (4:19:53) Concept Review
⭐️ Special thanks to our Champion supporters! ⭐️
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Artificial general intelligence (AGI) promises to unlock unbelievable new capabilities, from AI that can reason across domains to the potential for runaway self-improvement. This video explores the rise of AGI, visions of the singularity, and the long-term implications of advanced AI systems that may one day far surpass human-level intelligence.
We define AGI and consider predictions about when it could emerge, from futurists like Ray Kurzweil who foresee the singularity as early as the 2030s. But perhaps more importantly, what ethical precautions should guide AGI development? How can we ensure advanced AI aligns with human values and avoids existential catastrophe?
This video delves into the possibilities and perils of merging biological and nonbiological intelligence, and whether we could ever fully align an AI's goals with our own complex values. We contemplate whether uncontrolled AGI could view humanity as atoms to be used for a different purpose. But with diligence and wisdom, perhaps we can harness AI's potential as a force for good, ending disease, hunger, and environmental destruction.
Video Title: Are We Ready for Artificial General Intelligence? The Coming Of AGI
#agisimplyexplained #whatisagi #understandingagi #artificialgeneralintelligenceexplained #agideinition #agiexplained #agiconcept #agifuture #agitechnology #agibenefits #agirisks
As we stand at the threshold of superintelligent machines, we must thoughtfully shape the institutions that will guide the next phase of our civilization. Join us for an expansive look at artificial general intelligence and technological singularity. How humanity navigates this transition may determine our destiny across the stars.
Disclaimer: We do not accept any liability for any loss or damage which is incurred by you acting or not acting as a result of watching any of my publications. You acknowledge that you use the information I provide at your own risk. Do your own research.
Copyright Notice:
Video clips used here under fair use for educational purposes.
Copyright Disclaimer Under Section 107 of the Copyright Act 1976, allowance is made for "fair use" for purposes such as criticism, comment, news reporting, teaching, scholarship, and research. Fair use is a use permitted by copyright statute that might otherwise be infringing. Non-profit, educational or personal use tips the balance in favor of fair use.
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=============================
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