📌 Session #4 – Attention mechanism (Transformer) implementation (Part I) 📌 Introduction, Coding About: The goal of this series is to provide code-focused sessions by reimplementing selected models from the interactive open source book “Dive into Deep Learning” http://d2l.ai/ by Aston Zhang, Zachary C. Lipton, Mu Li, and Alexander J. Smola. In this session, we will discuss the attention mechanism and we’ll be covering parts of Chapter 10. Attention Mechanism https://d2l.ai/chapter_attention-mechanisms/ We recommend interested participants read these chapters of the book to take full advantage of the session. These sessions are meant for people who are interested in implementing models from scratch and/or never have implemented a model before. We hope to help participants either get started in their Machine Learning journey or deepen their knowledge if they already have previous experience. We will try to achieve this by: * Helping participants to create their models end-to-end by reimplementing models from scratch, and discussing what modules/elements need to be included (e.g. data preprocessing, dataset generation, data transformation, etc…) to train an ML model. * Discussing and resolving coding questions participants might have during the sessions. 📌 Session Leads: Devansh Agarwal and Kshitij Aggarwal Devansh Agarwal is a Data Scientist at BMS. He graduated with a Ph.D. in Astronomy where he has developed pipelines using high-performance computing and machine learning to aid the discovery of astronomical objects. https://www.linkedin.com/in/devanshkv/ Kshitij Aggarwal is a 4th-year graduate student at the Department of Physics and Astronomy at West Virginia University. He uses data analysis, machine [More]
In this live stream, I explain the math behind gradient descent from my previous linear regression video. I also begin exploring the content from Session 4 of the “Intelligence and Learning” course. I build a simple Perceptron example in Processing. This video is part of the third and fourth session of my ITP “Intelligence and Learning” course (https://github.com/shiffman/NOC-S17-2-Intelligence-Learning) Edited videos: Maths of Gradient Descent: https://youtu.be/jc2IthslyzM Perceptron: https://youtu.be/ntKn5TPHHAk Timestamps: 24:00 – Maths for Gradient Descent 1:39:59 – Coding Challenge: Perceptron Simple Perceptron code examples: p5.js: https://github.com/shiffman/The-Nature-of-Code-Examples-p5.js/tree/master/chp10_nn/NOC_10_01_Perceptron Processing: https://github.com/shiffman/The-Nature-of-Code-Examples/tree/master/chp10_nn/NOC_10_01_SimplePerceptron 🚂 Website: http://thecodingtrain.com/ 👾 Share Your Creation! https://thecodingtrain.com/guides/passenger-showcase-guide 🚩 Suggest Topics: https://github.com/CodingTrain/Suggestion-Box 💡 GitHub: https://github.com/CodingTrain 💬 Discord: https://thecodingtrain.com/discord 💖 Membership: http://youtube.com/thecodingtrain/join 🛒 Store: https://standard.tv/codingtrain 🖋️ Twitter: https://twitter.com/thecodingtrain 📸 Instagram: https://www.instagram.com/the.coding.train/ 🎥 Coding Challenges: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH 🎥 Intro to Programming: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6Zy51Q-x9tMWIv9cueOFTFA 🔗 p5.js: https://p5js.org 🔗 p5.js Web Editor: https://editor.p5js.org/ 🔗 Processing: https://processing.org References: Session 3 of Intelligence and Learning: https://github.com/shiffman/NOC-S17-2-Intelligence-Learning/tree/master/week3-classification-regression Session 4 of Intelligence and Learning: https://github.com/shiffman/NOC-S17-2-Intelligence-Learning/tree/master/week4-neural-networks Nature of Code: http://natureofcode.com/ 3Blue1Brown’s Youtube channel: https://www.youtube.com/channel/UCYO_jab_esuFRV4b17AJtAw My Gradient Descent video: https://youtu.be/L-Lsfu4ab74 Perceptron on Wikipedia: https://en.wikipedia.org/wiki/Perceptron Books: Frank Rosenblatt’s paper on the Perceptron: http://www.ling.upenn.edu/courses/cogs501/Rosenblatt1958.pdf Make Your Own Neural Network: http://amzn.to/2rDkbt4 Calculus Made Easy: http://amzn.to/2sBvlvQ Source Code for the all Video Lessons: https://github.com/CodingTrain/Rainbow-Code p5.js: https://p5js.org/ Processing: https://processing.org For more Intelligence and Learning videos: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6YJ3XfHhT2Mm4Y5I99nrIKX For my Nature of Code videos: https://www.youtube.com/watch?v=6vX8wT1G798&list=PLRqwX-V7Uu6YVljJvFRCyRM6mmF5wMPeE&index=1 For More Live Streams: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6bxnFR6no70vlxxuxDEzflz Help us caption & translate this video! http://amara.org/v/7SDJ/ Help us caption & translate this video! http://amara.org/v/aMfe/ 📄 Code of Conduct: https://github.com/CodingTrain/Code-of-Conduct
Power Automate Desktop is a Windows desktop tool that allows the designing, creation, and running of automated processes. Accessible for free to anybody. It has recording abilities like a macro recorder — you can just record your steps and run it. With Robotic Process Automation (RPA) you can build bots and automate repetitive tasks in a user-friendly drag and drop environment without coding knowledge. In this video I’ll show you how you can use Power Automate Desktop to perform web scraping without any coding. 🌍 My Online Excel Courses ► https://www.xelplus.com/courses/ 00:00 How to Use Power Automate Desktop 02:28 Create a Flow 04:22 Browser Automation 06:50 Use Recorder to Create Flow Actions 09:20 Store Extracted Data in Excel Spreadsheet 10:42 Run Flow for Web Scraping 12:28 Wrap Up 🎬 LINKS to more Power Automate videos: https://www.youtube.com/playlist?list=PLmHVyfmcRKyy3jmMCBbNaDCNNXIZdeUY1 🎒 Get the Official XelPlus MERCH: https://xelplus.creator-spring.com/ 🎓 Not sure which of my Excel courses fits best for you? Take the quiz: https://www.xelplus.com/course-quiz/ 📚 Excel RESOURCES I Recommend: https://www.xelplus.com/resources/ 🎥 GEAR I use: https://www.xelplus.com/resources/#gear More resources on my Amazon page: https://www.amazon.com/shop/leilagharani 🚩Let’s connect on social: Instagram: https://www.instagram.com/lgharani Twitter: https://twitter.com/leilagharani LinkedIn: https://at.linkedin.com/in/leilagharani 👉 This description contains affiliate links, which means at no additional cost to you, we will receive a small commission if you make a purchase using the links. This helps support the channel and allows us to continue to make videos like this. Thank you for your support! #powerautomate
In this video, we learn from some of the greatest minds in technology why coding is so important for career growth. So, without further ado, let’s jump right in! 🔥Explore our FREE Courses: https://www.simplilearn.com/skillup-free-online-courses?utm_campaign=WhyLearnCoding&utm_medium=Description&utm_source=youtube ✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH #WhyLearnCoding #WhyEveryoneShouldLearnCoding #YouShouldLearnCoding #WhyProgrammingIsImportant #ReasonsToLearnCoding #ElonMusk #SteveJobs #BillGates #MarkCuban #MarkZuckerberg #Simplilearn Simplilearn is one of the world’s leading certification training providers. We partner with companies and individuals to address their unique needs, providing training and coaching that helps working professionals achieve their career goals. We’ve helped over 1 million professionals and companies across 150+ countries get trained, acquire certifications, and upskill their employees. Our training courses are designed and updated by 2000+ renowned industry experts. Our blended learning approach combines online classes, instructor-led live virtual classrooms, project work, and 24/7 teaching assistance. We provide online training in Machine Learning, AWS, DevOps, Big Data, Hadoop, Data Science, Artificial Intelligence, Cloud Computing, Project Management, Digital Marketing, Cyber Security and Salesforce among others, where technologies and best practices are changing rapidly and demand for qualified candidates significantly exceeds supply. Learn more at: https://www.simplilearn.com/?utm_campaign=CuratedVideo&utm_medium=Description&utm_source=youtube For more information about Simplilearn courses, visit: – Facebook: https://www.facebook.com/Simplilearn – Twitter: https://twitter.com/simplilearn – LinkedIn: https://www.linkedin.com/company/simplilearn/ – Website: https://www.simplilearn.com Get the Android app: http://bit.ly/1WlVo4u Get the iOS app: http://apple.co/1HIO5J0
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I hacked together a Slack app to help machine learning engineers monitor their model training progress. My buddies Mark and Eduardo tried to help but they aren’t pro at coding like me. Source code and usage instructions: https://github.com/wkwan/modelwatch Twitter: https://twitter.com/_willkwan Instagram: https://www.instagram.com/_willkwan/ #startup #ai #artificialintelligence #machinelearning #deepfake