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Learn how to develop Dynamic Database-Driven Web Apps with Python, Flask, and MySQL. This course is broken up into two parts. In part one, you will learn how to build and deploy a site using the Flask Python web framework. In part two, you will connect the Flask application from the first part to a cloud MySQL database and learn how to deploy a production-ready database-driven web application.
✏️ Aakash N S created this course.
🔗 Submit your project & earn a certificate: https://jovian.com/learn/web-d....evelopment-with-pyth
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Notes & references links:
🔗 Part 1: https://jovian.com/aakashns/we....b-development-with-p
🔗 Part 2: https://jovian.com/aakashns/da....tabase-driven-web-ap
⭐️ Contents ⭐️
Part 1
⌨️ (0:00:00) Introduction
⌨️ (0:02:07) 1.1 Project Setup & Flask Basics
⌨️ (0:22:25) 1.2 Building Web Pages using HTML
⌨️ (0:40:57) 1.3 Styling with CSS & Bootstrap
⌨️ (1:08:25) 1.4 Dynamic Data using Templates
⌨️ (1:27:22) 1.5 Deploying to the Cloud with Render
⌨️ (1:42:39) 1.6 Functional and Aesthetic Improvements
⌨️ (1:58:44) 1.7 Summary & Future Work
Part 2
⌨️ (2:04:19) Database-Driven Web Applications
⌨️ (2:07:24) 2.1 Project Setup & Deployment
⌨️ (2:21:44) 2.2 Cloud MySQL Database Setup
⌨️ (2:36:20) 2.3 DB Connection with SQLAlchemy
⌨️ (2:56:22) 2.4 Display DB Data on Web Page
⌨️ (3:20:04) 2.5 Dynamic Database-Driven Pages
⌨️ (3:49:23) 2.6 HTML Form for Applications
⌨️ (4:15:37) 2.7 Saving Applications to DB
⌨️ (4:26:23) 2.8 Summary & Future Work
⌨️ (4:37:50) Conclusion
🎉 Thanks to our Champion and Sponsor supporters:
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In this ChatGPT Course for beginners, we'll cover ChatGPT, GPT-4, and how ChatGPT works. We'll also explore its applications in various domains, including SEO and digital marketing, and share valuable tips and tricks.
00:00 ChatGPT Course For Beginners 2024
01:15 GPT 4
07:17 Automate Excel using ChatGPT
01:17:45 How To Use ChatGPT for SEO
02:09:20 ChatGPT For Content Creation
02:14:04 Master SEO Content with ChatGPT
02:25:11 ChatGPT For Marketing
02:33:58 How To Use ChatGPT to Build Website
03:17:00 ChatGPT For Programming
03:26:02 Can ChatGPT Solve LeetCode Problems?
04:54:23 How To Integrate ChatGPT With Whatsapp
05:32:19 Build a Game using Python and ChatGPT
05:47:32 ChatGPT in Cybersecurity
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➡️ About Post Graduate Program In AI And Machine Learning
This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.
✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools
✅ Skills Covered
- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- And Many More…
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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐌𝐒 𝐄𝐱𝐜𝐞𝐥 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 : https://www.edureka.co/advance....d-ms-excel-self-pace (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This Edureka video on 'Excel Tutorial' will help you learn all the basics of MS Excel. Here are all the topics discussed in this Excel Basics for Beginners video:
00:00:00 Introduction
00:00:24 Agenda
00:01:00 What is Excel
00:02:12 Excel SCreen Option
00:07:16 Backstage View
00:08:14 Workbooks & Worksheets
00:08:53 Editing Worksheets
00:19:34 Formatting MS Excel Worksheets
00:30:57 Formulas
00:33:08 Functions
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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬
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This video on "AWS in 5 minutes", will give you a quick insight into What is AWS. In this AWS Tutorial for Beginners video, we'll talk about its history, some of its most popular services, and what a career in the field looks like. All of this in 5 minutes! So without further ado, let's jump right into this AWS Training and start learning AWS(Amazon web services)!
Don't forget to take the quiz at 03:57!
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➡️ About Post Graduate Program In Cloud Computing
This Post Graduate Program in Cloud Computing helps you become an expert in designing, planning, and scaling cloud implementations. Our Cloud Computing course helps you master the core skill sets required to design and deploy dynamically scalable and reliable applications on three popular cloud platform providers: Microsoft Azure, AWS, and GCP.
✅ Key Features
- Caltech CTME Post Graduate Certificate
- Enrolment in Simplilearn’s JobAssist
- Receive up to 30 CEUs from Caltech CTME
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Attend Masterclasses from Caltech CTME instructors
- Live virtual classes led by industry experts, hands-on projects and integrated labs
- Online Convocation by Caltech CTME Program Director
- 40+ Hands-On Projects and Integrated Labs
- Capstone Project in 4 Domains
- Caltech CTME Circle Membership
✅ Skills Covered
- Cloud Provider Selection
- Application Migration
- Performance Testing
- Cloud Workloads
- Identity Access Management
- Autoscaling
- Disaster Recovery
- Web Services and API
- Cloud Migration and Deployment
- Database Management
- MultiCloud Deployment
- Storage Services
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🔥 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟒 - Edureka Training and Certification (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"): https://bit.ly/3QH0NFs
This Edureka video on "𝐓𝐨𝐩 𝟏𝟎 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟒" video will introduce you to all the popular and trending technologies in the market which you should focus on in 2024. These are the best trending technologies that you need to learn in order to have a successful career in the year 2024.
📝Let us know your list of top 10 trending technologies to learn in 2024 in the comment section.📝
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#edureka #Top10Technologies #top10TechnologiesFor2024 #trendingtechnologies #besttechnology #futuretechnolgies #futuretechnology #technology #top10 #trending #upskill #training #certification #career #job
🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬
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This Data Science Full Course Video by Simplilearn helps you learn a brief introduction to data science. followed by that, we will continue by discussing the scope of AI in future, then we will learn the roadmap to become a data scientist, followed by that, we will learn the AI BIAS topic, proceeding ahead we will learn the differences between AI, ML, and DL (Artificial intelligence vs machine learning vs deep learning), next we will have a brief introduction to deep learning and applied data science with python. Then we will learn how to Run Lama Privately. Afterwards, we will procced with an Introduction to LLm and LLM benchmarking, we will proceed with LangChain. Lastly we will discuss Confusion matrix, Machine learning projects for beginners and at the end we will discuss important interview questions. The video covers the following topics.
00:00:00 Introduction to Data Science Full Course
00:04:21 Data Science in 5 minutes
00:13:27 Future of AI
00:14:59 How to become Data Scientist
00:29:52 AI Bias
00:36:03 Difference between AI ML and DL
00:45:39 Roadmap to Data Science
00:54:56 Fastest way to Learn Data Science
06:48:37 Deep Learning
10:05:37 Applied Data Science with Python
10:06:44 Run Lama Privately
10:15:28 Introduction to LLM
10:28:57 LLM Benchmarking
10:30:16 Lang Chain Explained
10:57:44 Confusion Matrix ML
11:15:29 ML Projects for Beginners
12:22:26 Interview Questions
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#datascience #datasciencecourse #datascienceroadmap #datascientist #datascienceforbeginners #datasciencetools #simplilearn #2024
What is Data Science?
Data science is the field of study that works with massive amounts of data utilizing relevant tools and techniques to derive valuable data. Companies across various industries generate vast amounts of data, so its applications range all the way from education, healthcare, and entertainment to Finance and Marketing.
✅ About Post Graduate Program In Data Science:
This in-depth Data Science program is designed for working professionals, and covers job-critical topics like R, Python programming, Machine Learning techniques, NLP notions, and Data Visualization with Tableau, using an active learning model that includes live sessions from global professionals, practical labs, IBM Hackathons, and corporate ready projects
Key Features
✅ Program completion certificate from Purdue University Online and Simplilearn
✅ Access to Purdue’s alumni association membership on program completion
✅ Core curriculum delivered in live online classes by industry experts
✅ Industry-recognized IBM certificates for IBM courses
✅ Engage in live online masterclasses led by Purdue faculty, staff, and IBM experts
✅ Exclusive hackathons and Ask Me Anything (AMA) sessions by IBM
✅ Gain exposure to ChatGPT, Gemini, Keras, TensorFlow and other prominent tools
✅ Interactive sessions on the latest AI trends, such as GenAI, prompt engineering, LLMs, and more
✅ 3 capstones and 25+ hands-on projects from various industry domains
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
Skills Covered
✅ Exploratory Data Analysis
✅ Descriptive Statistics
✅ Inferential Statistics
✅ Model Building and Finetuning
✅ Supervised and Unsupervised Learning
✅ Ensemble Learning
✅ Deep Learning
✅ Data Visualization
✅ Generative AI
✅ Prompt Engineering
✅ ChatGPT
✅ Explainable AI
✅ Machine Learning Algorithms
✅ Model Training and Optimization
✅ Model Evaluation and Validation
✅ Natural Language Processing
✅ Computer Vision
✅ Reinforcement Learning
✅ Speech Recognition
Learning Path
✅ Program Induction
✅ Programming Refresher
✅ Data Management using SQL
✅ Python for Data Science (IBM)
✅ Applied Data Science with Python
✅ Machine Learning
✅ Deep Learning Specialization
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Muchas gracias al Prof. Colin Adams por su excelente ayuda al guiarnos a través del mundo de los nudos.
Muchas gracias al Prof. Doug Smith, Dorian Raymer, el Prof. David Leigh y la Prof. Dorothy Buck por ayudarnos a comprender las aplicaciones de la teoría de nudos.
Muchas gracias al Prof. Dan Silver y al Prof. Jim Hoste por hablar con nosotros sobre la historia y la tabulación de nudos.
Si quieres aprender más sobre los nudos y jugar con ellos tú mismo, consulta:
La increíble herramienta KnotPlot: https://knotplot.com/. ¡Gracias a Rob Scharein por brindarnos ayuda técnica también!
Una tabla de nudos y todas sus invariantes: https://knotinfo.math.indiana.edu/
Knot Atlas para obtener información general sobre nudos: http://katlas.org/wiki/Main_Page
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Referencias en vídeo de la teoría de nudos: https://ve42.co/KnotTheoryRefs
Imágenes y vídeo:
Alexander cortando el nudo gordiano por Donato Creti vía Fine Art America - https://ve42.co/GordianCut
Tablet de Indus Valley a través de Quora - https://ve42.co/IndusValley
Páginas del Libro de Kells a través del National Trust of Scotland: https://ve42.co/BookOfKells
Diseños celtas medievales de @thebookofkellsofficial a través de Instagram - https://ve42.co/KellsInsta
Nudos chinos de YWang9174 a través de Wikimedia Commons - https://ve42.co/Panchang
Cables Quipu de Pi3.124 vía Wikimedia Commons - https://ve42.co/Quipu
Heráldica de Borromeo a través de Terre Borromeo - https://ve42.co/Borromeo
Carta de Birman/Jones vía Celebratio Mathematica - https://ve42.co/JonesBirman
Nudo de trébol molecular de piedra M a través de Wikimedia Commons - https://ve42.co/TrefoilMolecule
Estructura de rayos X del nudo trébol por Ll0103 a través de Wikimedia Commons - https://ve42.co/XrayTrefoil
Animación de bacterias de Your Body's Molecular Machines por Drew Berry a través del Instituto de Investigación Médica Walter y Eliza Hall - http://wehi.tv
Topoisomerasa y nudos de Orlandini et al. Sinergia de la topoisomerasa. PNAS, vol. 116, núm. 17, 2019, págs. 8149–8154. – https://ve42.co/Orlandini2019
KnotProt 2.0: una base de datos de proteínas con nudos y nudos corredizos - https://ve42.co/Knotprot
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Dirigido por Emily Zhang
Escrito por Emily Zhang y Derek Muller
Editado por Trenton Oliver.
Animado por Fabio Albertelli, Ivy Tello, Jakub Misiek y Mike Radjabov.
Filmado por Derek Muller, Raquel Nuno y Emily Zhang
Producido por Emily Zhang y Derek Muller
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This Edureka session on Machine Learning with Tree-Based Models in Python will help you understand the Bagging & Boosting concepts in detail.
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About the Masters Program
Edureka’s Machine Learning Engineer Masters Program makes you proficient in techniques like Supervised Learning, Unsupervised Learning and Natural Language Processing. It includes training on the latest advancements and technical approaches in Artificial Intelligence & Machine Learning such as Deep Learning, Graphical Models and Reinforcement Learning.
The Master's Program Covers Topics LIke:
Python Programming
PySpark
HDFS
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Machine Learning Techniques and Artificial Intelligence Types
Tokenization
Named Entity Recognition
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Unsupervised Algorithms
Tensor Flow
Deep learning
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Bayesian and Markov’s Models
Inference
Decision Making
Bandit Algorithms
Bellman Equation
Policy Gradient Methods
----------------------
Prerequisites
There are no prerequisites for enrolment to the Masters Program. However, as a goodwill gesture, Edureka offers a complimentary self-paced course in your LMS on SQL Essentials to brush up on your SQL Skills. This program is designed and developed for an aspirant planning to build a career in Machine Learning or an experienced professional working in the IT industry.
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Generative Adversarial Network are very popular in the field of Deep Learning. In this video, you will learn what GANs are and understand about Generators and Discriminators. You will understand how GANs works and look at the mathematical equation of GAN. Finally, you will learn the types od GANs and see the different applications of GANs.
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This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.
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- Post Graduate Program certificate and Alumni Association membership
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- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools
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"🔥 Large Language Models (LLMs) Course with Generative AI : https://www.edureka.co/generative-ai-llms-course
In this video on ""What is LLM"" we'll dive into large language models (LLMs), powerful AI systems trained on massive text datasets to understand and generate human-like language. We'll introduce the concept of LLMs, explain how they leverage deep learning and self-attention mechanisms, and Discover examples of large language models like Google's LLaVA, OpenAI's GPT-3, and Microsoft's Turing-NLG, which power LLM's capabilities. We'll explore their impressive capabilities in tasks like text generation, summarization, question answering, and translation, as well as their real-world applications across industries.
In this informative video on What is LLM, we will cover the following Topics:
✅ 00:00 - Introduction to Large Language Model
✅ 01:03 - What is LLMs?
✅ 01:48 - Examples of LLMs
✅ 02:01 - Applications of LLMs
✅ 02:36 - How does LLM works?
✅ 03:57 - Understand Working of LLM With an Example
"
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𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬
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- - - - - - - - - - - - - -
About Large Language Models (LLMs) Course with Generative AI
Edureka's course on Large Language Models with Generative AI offers a transformative journey into the intricacies of LLMs. Delve deep into content generation and application development, gaining the expertise to create innovative solutions. Enroll now to become a trailblazer in this rapidly evolving domain.
- - - - - - - - - - - - - -
Who should go for this course?
This course on Large Language Models is suitable for data scientists, software developers, and AI researchers aiming to advance their expertise in natural language processing and utilize LLMs in their projects. Additionally, professionals in content creation, marketing, and customer service seeking to leverage LLMs for text generation and analysis can benefit from this course.
- - - - - - - - - - - - - -
What are the Prerequisites for this course?
The prerequisites for this course on Large Language Models include a basic understanding of machine learning concepts, proficiency in programming languages such as Python, and familiarity with natural language processing fundamentals. Additionally, knowledge of deep learning frameworks like TensorFlow or PyTorch would be beneficial for participants.
For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: +18338555775 (toll-free).
#Edureka #largelanguagemodel #llm #llmmachinelearning #generativeai #edurekacourse"
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Explore the capabilities of AI with our latest YouTube video on ChatGPT's revolutionary memory feature. In this How To Use ChatGPT Memory comprehensive video, we detail how ChatGPT remembers information from your past interactions to tailor and enhance your ongoing experiences. We'll guide you through how this memory mechanism captures essential information and seamlessly integrates it into future discussions. Through vivid real-life scenarios, we demonstrate the practical applications of this technology—from improving project management to customizing educational content and remembering personal preferences. This video is perfect for anyone curious about the practical impacts of AI in daily life and those interested in the technical aspects of how AI can adapt and learn over time. Tune in to discover how ChatGPT's memory is making AI interactions more intuitive and impactful.
In this How To Use ChatGPT Memory video, we start with:
00:00:00 Introduction to ChatGPT Memory Feature
00:01:18 Features of ChatGPT's Memory Feature
00:01:48 How to enable and Manage ChatGPT's Memory Feature
00:03:39 Introducing Temporary Chat Feature
00:06:21 Applications of ChatGPT's Memory Feature using prompts
00:10:52 Delete or Remove ChatGPT's Memory
00:15:31 Other Examples of ChatGPT's Memory Feature using prompts
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⏩ Check out More AI Videos By Simplilearn: https://youtube.com/playlist?l....ist=PLEiEAq2VkUULyr_
➡️ About Post Graduate Program In AI And Machine Learning
This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.
✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools
✅ Skills Covered
- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- And Many More…
👉 Enroll Now: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=10May24HowToUseChatGPTMemory&utm_medium=Description&utm_source=youtube
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Shortform link:
https://shortform.com/artem
In this video we will talk about backpropagation – an algorithm powering the entire field of machine learning and try to derive it from first principles.
OUTLINE:
00:00 Introduction
01:28 Historical background
02:50 Curve Fitting problem
06:26 Random vs guided adjustments
09:43 Derivatives
14:34 Gradient Descent
16:23 Higher dimensions
21:36 Chain Rule Intuition
27:01 Computational Graph and Autodiff
36:24 Summary
38:16 Shortform
39:20 Outro
USEFUL RESOURCES:
Andrej Karpathy's playlist: https://youtube.com/playlist?list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ&si=zBUZW5kufVPLVy9E
Jürgen Schmidhuber's blog on the history of backprop:
https://people.idsia.ch/~juerg....en/who-invented-back
CREDITS:
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#빗소리, #rain, #ASMR,
🔴 큰 폭풍우가 자정에 도시를 강타하여 숙면을 취하도록 돕습니다
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🌿 휴식, 명상, 공부, 독서, 마사지, 스파 또는 수면을 위한 편안한 비 음악. 이 빗소리는 이완을 촉진하고 나쁜 진동을 제거하는 데 도움이 되므로 불안, 스트레스 또는 불면증에 이상적입니다. 그들은 또한 이 비의 음악을 명상이나 잠자는 동안 휴식을 위한 배경으로 사용할 수 있습니다.
🌿 "Storm Power" 채널의 새로운 편안한 라이브 음악 프로그램에 오신 것을 환영합니다. 비디오 볼륨을 낮추고 공부, 일, 독서 등 원하는 모든 일을 시작할 수 있습니다.
음악 대상: 힐링 음악, 힐링 음악, 편안한 음악, 치료 음악, 치료 음악, 영혼 음악, 잠자는 음악, 진정 음악, 편안한 음악, 자장가, 레이키 음악, 세션 음악, 음악 음악, 신경질적인 음악, 사랑의 음악, 심장 음악, 부드러운 음악, 슬픈 음악, 좋은 음악, 직장 음악, 건강 음악, 스트레스 해소, 요가, 스파.
🌿 바탕 화면 작성자 : Storm Power
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►모든 권리는 해당 소유자에게 있습니다.
✔ 본 영상은
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Check out the latest (and most visual) video on this topic! The Celestial Mechanics of Attention Mechanisms: https://www.youtube.com/watch?v=RFdb2rKAqFw
This is the second of a series of 3 videos where we demystify Transformer models and explain them with visuals and friendly examples.
Video 1: The attention mechanism in high level https://youtu.be/OxCpWwDCDFQ
Video 2: The attention mechanism with math (this one)
Video 3: Transformer models https://www.youtube.com/watch?v=qaWMOYf4ri8
If you like this material, check out LLM University from Cohere!
https://llm.university
00:00 Introduction
01:18 Recap: Embeddings and Context
04:46 Similarity
11:09 Attention
20:46 The Keys and Queries Matrices
25:02 The Values Matrix
28:41 Self and Multi-head attention
33:54: Conclusion