Faster dataset annotation and model evaluation with Roboflow - Made with TensorFlow.js

In this episode of Made with TensorFlow, Brad Dwyer talks about Roboflow, a tool that empowers developers to build their own computer vision applications, no matter their skill set or experience. Learn how Roboflow is an end-to-end, computer vision tool chain that has everything you need from collecting images, to annotating them, creating data sets for training, creating a model to then deploy in the wild, and building production apps. Brad shares prominent features and previews of their models for various industries, from pharmaceuticals to gaming including augmented reality which could be great for the Metaverse push going on right now. Try it for yourself: Website: https://goo.gle/3T7A70f Blog Post Writeup: https://goo.gle/3CmLZom Card Recognition Demo: https://goo.gle/3fVprDw Want to be on the show? Use #MadeWithTFJS or #WebML to share your own creations on social media and we may feature you in our next show. Catch more #MadeWithTFJS interviews → http://goo.gle/made-with-tfjs Subscribe to the TensorFlow channel → https://goo.gle/TensorFlow

Galactica: A Large Language Model for Science (Drama & Paper Review)

#ai #galactica #meta Galactica is a language model trained on a curated corpus of scientific documents, such as papers, knowledge bases, reviews, and other articles. The model can be used in a generative fasion to assist scientific writing, do reference prediction, and much more, including a new approach to do step-by-step reasoning using a clever encoding of intermediate steps. This video explains the paper, but also dives into the drama that ensued once Meta released a public demo of the model. OUTLINE: 0:00 - Introduction 1:30 - Drama around the public demo 16:00 - Start of paper review 20:30 - Dataset construction and encoding 23:30 - Encoding step-by-step reasoning using a scratchpad 33:00 - Modelling scientific references & citations 35:05 - Prompt Pre-Training 37:10 - Architecture details 38:30 - Experimental results 49:20 - Conclusion Paper: https://ift.tt/NXriZcj Website: https://ift.tt/MFKoGIR Abstract: Information overload is a major obstacle to scientific progress. The explosive growth in scientific literature and data has made it ever harder to discover useful insights in a large mass of information. Today scientific knowledge is accessed through search engines, but they are unable to organize scientific knowledge alone. In this paper we introduce Galactica: a large language model that can store, combine and reason about scientific knowledge. We train on a large scientific corpus of papers, reference material, knowledge bases and many other sources. We outperform existing models on a range of scientific tasks. On technical knowledge probes such as LaTeX equations, Galactica outperforms the latest GPT-3 by 68.2% versus 49.0%. Galactica also performs well on reasoning, outperforming Chinchilla on mathematical MMLU by 41.3% to 35.7%, and PaLM 540B on MATH with a score of 20.4% versus 8.8%. It also sets a new state-of-the-art on downstream tasks such as PubMedQA and MedMCQA dev of 77.6% and 52.9%. And despite not being trained on a general corpus, Galactica outperforms BLOOM and OPT-175B on BIG-bench. We believe these results demonstrate the potential for language models as a new interface for science. We open source the model for the benefit of the scientific community. Authors: Ross Taylor Marcin Kardas Guillem Cucurull Thomas Scialom Anthony Hartshorn Elvis Saravia Andrew Poulton Viktor Kerkez Robert Stojnic Links: Homepage: https://ykilcher.com Merch: https://ift.tt/hkgtd8C YouTube: https://www.youtube.com/c/yannickilcher Twitter: https://twitter.com/ykilcher Discord: https://ift.tt/XdGpSyt LinkedIn: https://ift.tt/yXB1NJn If you want to support me, the best thing to do is to share out the content :) If you want to support me financially (completely optional and voluntary, but a lot of people have asked for this): SubscribeStar: https://ift.tt/3Gtnd28 Patreon: https://ift.tt/cPKdH2Q Bitcoin (BTC): bc1q49lsw3q325tr58ygf8sudx2dqfguclvngvy2cq Ethereum (ETH): 0x7ad3513E3B8f66799f507Aa7874b1B0eBC7F85e2 Litecoin (LTC): LQW2TRyKYetVC8WjFkhpPhtpbDM4Vw7r9m Monero (XMR): 4ACL8AGrEo5hAir8A9CeVrW8pEauWvnp1WnSDZxW7tziCDLhZAGsgzhRQABDnFy8yuM9fWJDviJPHKRjV4FWt19CJZN9D4n

Artificial Intelligence Full Course | Artificial Intelligence Tutorial for Beginners | Techpragna

Artificial intelligence is the simulation of human intelligence approaches via way of means of machines, mainly laptop systems. Specific programs of AI consist of professional systems, herbal language processing, speech reputation and system vision. We provide this direction in modes: a) Live trainer Led b) Self – Learning. 🔥Explore our CERTIFICATION Courses: https://www.techpragna.com/Course/Detail/86-artificial-intelligence ✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/3DMkhDn #artificialintelligence #ai #machinelearning #technology #datascience #python #deeplearning #programming #tech #robotics #innovation #bigdata #coding #iot #computerscience #data #dataanalytics #business #engineering #robot #datascientist #art #software #automation #analytics #ml #pythonprogramming #programmer #digitaltransformation #developer #techpragna About Techpragna.NET Programming Course: From TECHPRAGNA E-LEARNING PVT LTD "From TECHPRAGNA "TECHPRAGNA classroom and online e-learning platforms and centers bring together skilled industry instructors, real-life projects and state-of-the-art training infrastructure to create an immersive learning ecosystem and ensure that students have hands-on experience, and are job ready."" Key Features: ✅ Independently create Artificial intelligence program project ✅ Learn advanced techniques and procedures ✅ Industry-recognized course completion certificate. For more updates on courses and tips follow us on: - Facebook:https://www.facebook.com/techpragna.elearning/ - LinkedIn: https://www.linkedin.com/in/tech-pragna-438266249/ - Website: https://www.techpragna.com/ - Instagram:https://www.instagram.com/techpragna_/ Branch: Jayanagara 👉https://bit.ly/3NnSMTH Btm👉 https://bit.ly/3Fvfwzm Shivajinagar👉 https://bit.ly/3NqsobL Number: 080-42237300, 080-41557559& 080-49703646

How to hack in AI classes | Teachable Machine tutorial

Have you ever been trapped with all of those CNN, Tensorflow, and Pytorch AI tutorials? Teachable Machine is a simple tool for summarizing what's inside an AI project and making it a piece of cake for you. (No code, No experience, No shitty words) Let's begin with money classification! Source code: https://github.com/mrzaizai2k/Money-classification Media members: - Chi Bao - Mai Ngan Hashtag: #teachablemachine #moneyclassification #AIfromscratch ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Thanks For Watching ✅LIKE ✅SHARE ✅ SUBSCRIBE ✅If you've got any suggestions for future projects, let me know in the comments section. ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Catch me on the web with the links below: 📞Phone/Zalo: +84 32 762 0475 📧 Email: chibao24.12.1999@gmail.com ☎️Telegram: @Chibao_mrzaizai2k 💻 GitHub: https://github.com/mrzaizai2k Upwork/ LinkedIn/ Kaggle: https://bit.ly/Mrzaizai2k_AIchannel ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ If my YouTube videos, GitHub, Kaggle projects help you, consider helping me out by BUYING ME A COFFEE! https://bit.ly/Mrzaizai2k_AIchannel ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ TIMESTAMPS: 0:00 How to hack in AI classes Teachable Machine tutorial 0:44 Teachable Machine Introduction 1:18 Data collecting and preprocessing 2:43 Money classification 3:00 Training and setting parameters 3:42 Accuracy, Loss 4:13 Result of image classification 5:35 Export model and implement of Pycharm 7:56 Implement with OpenCV 8:31 Image classification on webcam

Deep Learning With Python | Deep Learning Tutorial For Beginners | Edureka Rewind - 2

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 𝐰𝐢𝐭𝐡 𝐓𝐞𝐧𝐬𝐨𝐫𝐟𝐥𝐨𝐰 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 : https://www.edureka.co/ai-deep-learning-with-tensorflow (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎) This video on "Deep Learning with Python" will provide you with detailed and comprehensive knowledge of Deep Learning, How it came into emergence. The various subparts of Data Science, how they are related and How Deep Learning is revolutionalizing the world we live in. This Tutorial covers the following topics: 00:00 Introduction 01:49 Introduction To AI, ML, and DL 02:19 What is Deep Learning 07:30 Applications of Deep Learning 13:27 Structure of Perceptron 16:31 Demo: Perceptron from scratch 23:52 What is a Neural Network ? 26:35 Demo: Creating Deep Neural Nets 📝Feel free to comment your doubts in the comment section below, and we will be happy to answer📝 -------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧--------- 🔵 DevOps Online Training:https://bit.ly/3r7xtvQ 🌕 AWS Online Training: https://bit.ly/3r6sawS 🔵 Azure DevOps Online Training:https://bit.ly/3r8shaX 🌕 Tableau Online Training: https://bit.ly/3LMOLGE 🔵 Power BI Online Training: https://bit.ly/3J9uOrP 🌕 Selenium Online Training: https://bit.ly/3jeSvEx 🔵 PMP Online Training: https://bit.ly/3DNgUKX 🌕 Salesforce Online Training: https://bit.ly/3j8VyxW 🔵 Cybersecurity Online Training: https://bit.ly/3LJBoGV 🌕 Java Online Training: https://bit.ly/35K5hrk 🔵 Big Data Online Training: https://bit.ly/3ugVAua 🌕 RPA Online Training: https://bit.ly/3LIqcKT 🔵 Python Online Training:https://bit.ly/3jbsAxr 🌕 Azure Online Training:https://bit.ly/3j8WOBa 🔵 GCP Online Training: https://bit.ly/3LHJb8g 🌕 Microservices Online Training:https://bit.ly/3r7Xwmt 🔵 Data Science Online Training: https://bit.ly/3r9dgFX ---------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬--------- 🔵 DevOps Engineer Masters Program: https://bit.ly/37p4goY 🌕 Cloud Architect Masters Program: https://bit.ly/35LP0SV 🔵 Data Scientist Masters Program: https://bit.ly/3NULA1q 🌕 Big Data Architect Masters Program:https://bit.ly/38qZTud 🔵 Machine Learning Engineer Masters Program:https://bit.ly/3ueP9rm 🌕 Business Intelligence Masters Program: https://bit.ly/3x9qpT5 🔵 Python Developer Masters Program:https://bit.ly/3j8YYkg 🌕 RPA Developer Masters Program: https://bit.ly/3JgqQ0g 🔵 Web Development Masters Program: https://bit.ly/3KlZJT1 🌕 Computer Science Bootcamp Program : https://bit.ly/3Kg70Uh 🔵 Cyber Security Masters Program: https://bit.ly/3uo98UN 🌕 Full Stack Developer Masters Program : https://bit.ly/3NUlVGb 🔵 Automation Testing Engineer Masters Program : https://bit.ly/3E0rFcZ 🌕 Python Developer Masters Program : https://bit.ly/3j8YYkg 🔵 Azure Cloud Engineer Masters Program: https://bit.ly/3NQb9Ax --------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝗼𝘀𝘁 𝗚𝗿𝗮𝗱𝘂𝗮𝘁𝗲 𝐂𝐨𝐮𝐫𝐬𝐞𝐬-------- 🔵 Artificial and Machine Learning PGD with E & ICT Academy NIT Warangal: https://bit.ly/3Kji6bb 🌕 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3uoajDH 📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟐 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢 ⏩𝐓𝐨𝐩 𝟏𝟎 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟮: https://bit.ly/3yhEs7S ⏩𝐓𝐨𝐩 𝟏𝟎 𝐇𝐢𝐠𝐡𝐞𝐬𝐭 𝐏𝐚𝐲𝐢𝐧𝐠 𝐉𝐨𝐛𝐬 𝐅𝐨𝐫 𝟐𝟎𝟐𝟐: https://bit.ly/3HcpPG6 ⏩𝐓𝐨𝐩 𝟏𝟎 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬 𝐟𝐨𝐫 𝟐𝟎𝟐𝟐: https://bit.ly/3FW6F69 ⏩𝐓𝐨𝐩 𝟏𝟎 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐟𝐨𝐫 𝟐𝟎𝟐𝟐: https://bit.ly/3gH57mr 📌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/ Who should go for this course? The TensorFlow with Python Training is for all the professionals who are passionate about Deep Learning and want to go ahead and make their career as a Deep Learning Engineer. It is best suited for individuals who are: Developers aspiring to be a 'Data Scientist' Analytics Managers who are leading a team of analysts Business Analysts who want to understand Deep Learning (ML) Techniques Information Architects who want to gain expertise in Predictive Analytics Analysts wanting to understand Data Science methodologies However, Deep learning is not just focused on one industry or skill set, it can be used by anyone to enhance their portfolio. Why Should you go for Deep Learning Training with TensorFlow Certification ? If you are good in Python and want to start your journey towards the path of a Data Scientist then this course is definitely for you The course is packed with the algorithms based on latest TensorFlow 2.0 Keras is now integrated with TensorFlow 2.0 thereby making it more powerful Writing codes in TensorFlow is much more easier as compared to the previous version TensorFlow 2.0 is now the most widely used library for Deep Learning The course will gIve you a combined taste of text and image processing

Deep Learning With Python | Deep Learning Tutorial For Beginners | Edureka Rewind - 2

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 𝐰𝐢𝐭𝐡 𝐓𝐞𝐧𝐬𝐨𝐫𝐟𝐥𝐨𝐰 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 : https://www.edureka.co/ai-deep-learning-with-tensorflow (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎) This video on "Deep Learning with Python" will provide you with detailed and comprehensive knowledge of Deep Learning, How it came into emergence. The various subparts of Data Science, how they are related and How Deep Learning is revolutionalizing the world we live in. This Tutorial covers the following topics: 00:00 Introduction 01:49 Introduction To AI, ML, and DL 02:19 What is Deep Learning 07:30 Applications of Deep Learning 13:27 Structure of Perceptron 16:31 Demo: Perceptron from scratch 23:52 What is a Neural Network ? 26:35 Demo: Creating Deep Neural Nets 📝Feel free to comment your doubts in the comment section below, and we will be happy to answer📝 -------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧--------- 🔵 DevOps Online Training:https://bit.ly/3r7xtvQ 🌕 AWS Online Training: https://bit.ly/3r6sawS 🔵 Azure DevOps Online Training:https://bit.ly/3r8shaX 🌕 Tableau Online Training: https://bit.ly/3LMOLGE 🔵 Power BI Online Training: https://bit.ly/3J9uOrP 🌕 Selenium Online Training: https://bit.ly/3jeSvEx 🔵 PMP Online Training: https://bit.ly/3DNgUKX 🌕 Salesforce Online Training: https://bit.ly/3j8VyxW 🔵 Cybersecurity Online Training: https://bit.ly/3LJBoGV 🌕 Java Online Training: https://bit.ly/35K5hrk 🔵 Big Data Online Training: https://bit.ly/3ugVAua 🌕 RPA Online Training: https://bit.ly/3LIqcKT 🔵 Python Online Training:https://bit.ly/3jbsAxr 🌕 Azure Online Training:https://bit.ly/3j8WOBa 🔵 GCP Online Training: https://bit.ly/3LHJb8g 🌕 Microservices Online Training:https://bit.ly/3r7Xwmt 🔵 Data Science Online Training: https://bit.ly/3r9dgFX ---------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬--------- 🔵 DevOps Engineer Masters Program: https://bit.ly/37p4goY 🌕 Cloud Architect Masters Program: https://bit.ly/35LP0SV 🔵 Data Scientist Masters Program: https://bit.ly/3NULA1q 🌕 Big Data Architect Masters Program:https://bit.ly/38qZTud 🔵 Machine Learning Engineer Masters Program:https://bit.ly/3ueP9rm 🌕 Business Intelligence Masters Program: https://bit.ly/3x9qpT5 🔵 Python Developer Masters Program:https://bit.ly/3j8YYkg 🌕 RPA Developer Masters Program: https://bit.ly/3JgqQ0g 🔵 Web Development Masters Program: https://bit.ly/3KlZJT1 🌕 Computer Science Bootcamp Program : https://bit.ly/3Kg70Uh 🔵 Cyber Security Masters Program: https://bit.ly/3uo98UN 🌕 Full Stack Developer Masters Program : https://bit.ly/3NUlVGb 🔵 Automation Testing Engineer Masters Program : https://bit.ly/3E0rFcZ 🌕 Python Developer Masters Program : https://bit.ly/3j8YYkg 🔵 Azure Cloud Engineer Masters Program: https://bit.ly/3NQb9Ax --------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝗼𝘀𝘁 𝗚𝗿𝗮𝗱𝘂𝗮𝘁𝗲 𝐂𝐨𝐮𝐫𝐬𝐞𝐬-------- 🔵 Artificial and Machine Learning PGD with E & ICT Academy NIT Warangal: https://bit.ly/3Kji6bb 🌕 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3uoajDH 📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟐 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢 ⏩𝐓𝐨𝐩 𝟏𝟎 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟮: https://bit.ly/3yhEs7S ⏩𝐓𝐨𝐩 𝟏𝟎 𝐇𝐢𝐠𝐡𝐞𝐬𝐭 𝐏𝐚𝐲𝐢𝐧𝐠 𝐉𝐨𝐛𝐬 𝐅𝐨𝐫 𝟐𝟎𝟐𝟐: https://bit.ly/3HcpPG6 ⏩𝐓𝐨𝐩 𝟏𝟎 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬 𝐟𝐨𝐫 𝟐𝟎𝟐𝟐: https://bit.ly/3FW6F69 ⏩𝐓𝐨𝐩 𝟏𝟎 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐟𝐨𝐫 𝟐𝟎𝟐𝟐: https://bit.ly/3gH57mr 📌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/ Who should go for this course? The TensorFlow with Python Training is for all the professionals who are passionate about Deep Learning and want to go ahead and make their career as a Deep Learning Engineer. It is best suited for individuals who are: Developers aspiring to be a 'Data Scientist' Analytics Managers who are leading a team of analysts Business Analysts who want to understand Deep Learning (ML) Techniques Information Architects who want to gain expertise in Predictive Analytics Analysts wanting to understand Data Science methodologies However, Deep learning is not just focused on one industry or skill set, it can be used by anyone to enhance their portfolio. Why Should you go for Deep Learning Training with TensorFlow Certification ? If you are good in Python and want to start your journey towards the path of a Data Scientist then this course is definitely for you The course is packed with the algorithms based on latest TensorFlow 2.0 Keras is now integrated with TensorFlow 2.0 thereby making it more powerful Writing codes in TensorFlow is much more easier as compared to the previous version TensorFlow 2.0 is now the most widely used library for Deep Learning The course will gIve you a combined taste of text and image processing

ML5G Challenge tutorial #4: Machine Learning Model Optimization and Compression

As part of the Machine Learning in 5G Challenge, this tutorial is open to participants or students who are new to machine learning and their application to communication networks. The tutorial will cover the intermediate ML topics such as model optimization and compression. This will be followed by a Jupyter notebook practice covering model pruning and quantization, and a Q&A session at the end. 🎙 Speakers: Thomas Basikolo‬ Young Expert - AI/ML International Telecommunication Union (ITU) Miya Nishio Student University of Tokyo Join the Neural Network! 👉https://aiforgood.itu.int/neural-network/ The AI for Good networking community platform powered by AI. Designed to help users build connections with innovators and experts, link innovative ideas with social impact opportunities, and bring the community together to advance the SDGs using AI. 🔴 Watch the latest #AIforGood videos! https://www.youtube.com/c/AIforGood/videos Explore more #AIforGood content: 1️⃣ AI for Good Top Hits https://www.youtube.com/playlist?list=PLQqkkIwS_4kXXQWhP4vSr0Rtl13t2Ud2w 2️⃣ AI for Good Webinars https://www.youtube.com/playlist?list=PLQqkkIwS_4kUwDVioxixBf8OYlGAS_9_z 3️⃣ AI for Good Keynotes https://www.youtube.com/playlist?list=PLQqkkIwS_4kUmK6zjiuWWE4fImrbGBWRF 📩 Stay updated and join our weekly AI for Good newsletter: http://eepurl.com/gI2kJ5 📅 Discover what's next on our programme! https://aiforgood.itu.int/programme/ 🗞Check out the latest AI for Good news: https://aiforgood.itu.int/newsroom/ 📱Explore the AI for Good blog: https://aiforgood.itu.int/ai-for-good-blog/ 🌎 Connect on our social media: Website: https://aiforgood.itu.int/ Twitter: https://twitter.com/AIforGood LinkedIn Page: https://www.linkedin.com/company/26511907 LinkedIn Group: https://www.linkedin.com/groups/8567748 Instagram: https://www.instagram.com/aiforgood Facebook: https://www.facebook.com/AIforGood What is AI for Good? We have less than 10 years to solve the UN SDGs and AI holds great promise to advance many of the sustainable development goals and targets. More than a Summit, more than a movement, AI for Good is presented as a year round digital platform where AI innovators and problem owners learn, build and connect to help identify practical AI solutions to advance the United Nations Sustainable Development Goals. AI for Good is organized by ITU in partnership with 40 UN Sister Agencies and co-convened with Switzerland. Disclaimer: The views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.

ML5G Challenge tutorial #4: Machine Learning Model Optimization and Compression

As part of the Machine Learning in 5G Challenge, this tutorial is open to participants or students who are new to machine learning and their application to communication networks. The tutorial will cover the intermediate ML topics such as model optimization and compression. This will be followed by a Jupyter notebook practice covering model pruning and quantization, and a Q&A session at the end. 🎙 Speakers: Thomas Basikolo‬ Young Expert - AI/ML International Telecommunication Union (ITU) Miya Nishio Student University of Tokyo Join the Neural Network! 👉https://aiforgood.itu.int/neural-network/ The AI for Good networking community platform powered by AI. Designed to help users build connections with innovators and experts, link innovative ideas with social impact opportunities, and bring the community together to advance the SDGs using AI. 🔴 Watch the latest #AIforGood videos! https://www.youtube.com/c/AIforGood/videos Explore more #AIforGood content: 1️⃣ AI for Good Top Hits https://www.youtube.com/playlist?list=PLQqkkIwS_4kXXQWhP4vSr0Rtl13t2Ud2w 2️⃣ AI for Good Webinars https://www.youtube.com/playlist?list=PLQqkkIwS_4kUwDVioxixBf8OYlGAS_9_z 3️⃣ AI for Good Keynotes https://www.youtube.com/playlist?list=PLQqkkIwS_4kUmK6zjiuWWE4fImrbGBWRF 📩 Stay updated and join our weekly AI for Good newsletter: http://eepurl.com/gI2kJ5 📅 Discover what's next on our programme! https://aiforgood.itu.int/programme/ 🗞Check out the latest AI for Good news: https://aiforgood.itu.int/newsroom/ 📱Explore the AI for Good blog: https://aiforgood.itu.int/ai-for-good-blog/ 🌎 Connect on our social media: Website: https://aiforgood.itu.int/ Twitter: https://twitter.com/AIforGood LinkedIn Page: https://www.linkedin.com/company/26511907 LinkedIn Group: https://www.linkedin.com/groups/8567748 Instagram: https://www.instagram.com/aiforgood Facebook: https://www.facebook.com/AIforGood What is AI for Good? We have less than 10 years to solve the UN SDGs and AI holds great promise to advance many of the sustainable development goals and targets. More than a Summit, more than a movement, AI for Good is presented as a year round digital platform where AI innovators and problem owners learn, build and connect to help identify practical AI solutions to advance the United Nations Sustainable Development Goals. AI for Good is organized by ITU in partnership with 40 UN Sister Agencies and co-convened with Switzerland. Disclaimer: The views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.

ML5G Challenge tutorial #4: Machine Learning Model Optimization and Compression

As part of the Machine Learning in 5G Challenge, this tutorial is open to participants or students who are new to machine learning and their application to communication networks. The tutorial will cover the intermediate ML topics such as model optimization and compression. This will be followed by a Jupyter notebook practice covering model pruning and quantization, and a Q&A session at the end. 🎙 Speakers: Thomas Basikolo‬ Young Expert - AI/ML International Telecommunication Union (ITU) Miya Nishio Student University of Tokyo Join the Neural Network! 👉https://aiforgood.itu.int/neural-network/ The AI for Good networking community platform powered by AI. Designed to help users build connections with innovators and experts, link innovative ideas with social impact opportunities, and bring the community together to advance the SDGs using AI. 🔴 Watch the latest #AIforGood videos! https://www.youtube.com/c/AIforGood/videos Explore more #AIforGood content: 1️⃣ AI for Good Top Hits https://www.youtube.com/playlist?list=PLQqkkIwS_4kXXQWhP4vSr0Rtl13t2Ud2w 2️⃣ AI for Good Webinars https://www.youtube.com/playlist?list=PLQqkkIwS_4kUwDVioxixBf8OYlGAS_9_z 3️⃣ AI for Good Keynotes https://www.youtube.com/playlist?list=PLQqkkIwS_4kUmK6zjiuWWE4fImrbGBWRF 📩 Stay updated and join our weekly AI for Good newsletter: http://eepurl.com/gI2kJ5 📅 Discover what's next on our programme! https://aiforgood.itu.int/programme/ 🗞Check out the latest AI for Good news: https://aiforgood.itu.int/newsroom/ 📱Explore the AI for Good blog: https://aiforgood.itu.int/ai-for-good-blog/ 🌎 Connect on our social media: Website: https://aiforgood.itu.int/ Twitter: https://twitter.com/AIforGood LinkedIn Page: https://www.linkedin.com/company/26511907 LinkedIn Group: https://www.linkedin.com/groups/8567748 Instagram: https://www.instagram.com/aiforgood Facebook: https://www.facebook.com/AIforGood What is AI for Good? We have less than 10 years to solve the UN SDGs and AI holds great promise to advance many of the sustainable development goals and targets. More than a Summit, more than a movement, AI for Good is presented as a year round digital platform where AI innovators and problem owners learn, build and connect to help identify practical AI solutions to advance the United Nations Sustainable Development Goals. AI for Good is organized by ITU in partnership with 40 UN Sister Agencies and co-convened with Switzerland. Disclaimer: The views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.

IZI FINGERPRINT - Tutorial #6 - Monitoring Options & Channel Settings

IZI FINGERPRINT - VIDEO AND AUDIO RECOGNITION SOFTWARE IZI-FINGERPRINT - CAPTURE DEVICES SETUP - RECORD TV & RADIO - MACHINE LEARNING AI (DEEP LEARNING) IZI-FINGERPRINT IS A SOFTWARE DESIGNED FOR RECORDING VIDEO AND AUDIO FROM VARIOUS SOURCES SUCH AS EXTERNAL DEVICES, ONLINE MEDIAS, WEBCAMS, YOUTUBE, LIVE STREAMS, CCTV CAMERAS, ETC. RECORDS MULTIPLE CHANNELS AND DEVICES SIMULTANEOUSLY. ALLOWS FOR CREATING DIGITAL FINGERPRINTS OF VIDEO AND AUDIO FILES TO BE AUTOMATICALLY DETECTED IF TRANSMITTED IN ANY OF THE MONITORED SOURCES. IT IS USED FOR MEDIA VERIFICATION PURPOSES FOR MEDIA AND ADVERTISING AGENCIES, GOVERNMENT AGENCIES, AND MANY OTHERS. - RECORD TV, RADIO, WEBCAMS, CCTV - MONITOR FINGERPRINTS AND LOGOS/BRANDS - AUTO GENERATED DETAILED REPORTS OF DETECTIONS THE SOFTWARE ALSO INCLUDES BRAND RECOGNITION (OBJECT DETECTION) WITH AI (ARTIFICIAL INTELLIGENCE) MACHINE LEARNING. MODELS CAN BE TRAINED TO DETECT ANY OBJECT IMAGE SUCH AS: - LOGOS/BRANDS - PEOPLE, ANIMALS, VEHICLES - FIRE, SMOKE - ETC COMPATIBLE WITH USB HDMI VIDEO CAPTURE DEVICES. TURNS ANY PC INTO A MULTI CHANNEL VIEW, MULTI CHANNEL RECORDING TELEVISION SET. FOR MORE INFORMATION CONTACT info@iziadvertising.com www.iziadvertising.com

IZI FINGERPRINT - Tutorial #7 - Creating Fingerprints From Audio Video

IZI FINGERPRINT - VIDEO AND AUDIO RECOGNITION SOFTWARE IZI-FINGERPRINT - CAPTURE DEVICES SETUP - RECORD TV & RADIO - MACHINE LEARNING AI (DEEP LEARNING) IZI-FINGERPRINT IS A SOFTWARE DESIGNED FOR RECORDING VIDEO AND AUDIO FROM VARIOUS SOURCES SUCH AS EXTERNAL DEVICES, ONLINE MEDIAS, WEBCAMS, YOUTUBE, LIVE STREAMS, CCTV CAMERAS, ETC. RECORDS MULTIPLE CHANNELS AND DEVICES SIMULTANEOUSLY. ALLOWS FOR CREATING DIGITAL FINGERPRINTS OF VIDEO AND AUDIO FILES TO BE AUTOMATICALLY DETECTED IF TRANSMITTED IN ANY OF THE MONITORED SOURCES. IT IS USED FOR MEDIA VERIFICATION PURPOSES FOR MEDIA AND ADVERTISING AGENCIES, GOVERNMENT AGENCIES, AND MANY OTHERS. - RECORD TV, RADIO, WEBCAMS, CCTV - MONITOR FINGERPRINTS AND LOGOS/BRANDS - AUTO GENERATED DETAILED REPORTS OF DETECTIONS THE SOFTWARE ALSO INCLUDES BRAND RECOGNITION (OBJECT DETECTION) WITH AI (ARTIFICIAL INTELLIGENCE) MACHINE LEARNING. MODELS CAN BE TRAINED TO DETECT ANY OBJECT IMAGE SUCH AS: - LOGOS/BRANDS - PEOPLE, ANIMALS, VEHICLES - FIRE, SMOKE - ETC COMPATIBLE WITH USB HDMI VIDEO CAPTURE DEVICES. TURNS ANY PC INTO A MULTI CHANNEL VIEW, MULTI CHANNEL RECORDING TELEVISION SET. FOR MORE INFORMATION CONTACT info@iziadvertising.com www.iziadvertising.com

IZI FINGERPRINT - Tutorial #8 - Editing Fingerprints

IZI FINGERPRINT - VIDEO AND AUDIO RECOGNITION SOFTWARE IZI-FINGERPRINT - CAPTURE DEVICES SETUP - RECORD TV & RADIO - MACHINE LEARNING AI (DEEP LEARNING) IZI-FINGERPRINT IS A SOFTWARE DESIGNED FOR RECORDING VIDEO AND AUDIO FROM VARIOUS SOURCES SUCH AS EXTERNAL DEVICES, ONLINE MEDIAS, WEBCAMS, YOUTUBE, LIVE STREAMS, CCTV CAMERAS, ETC. RECORDS MULTIPLE CHANNELS AND DEVICES SIMULTANEOUSLY. ALLOWS FOR CREATING DIGITAL FINGERPRINTS OF VIDEO AND AUDIO FILES TO BE AUTOMATICALLY DETECTED IF TRANSMITTED IN ANY OF THE MONITORED SOURCES. IT IS USED FOR MEDIA VERIFICATION PURPOSES FOR MEDIA AND ADVERTISING AGENCIES, GOVERNMENT AGENCIES, AND MANY OTHERS. - RECORD TV, RADIO, WEBCAMS, CCTV - MONITOR FINGERPRINTS AND LOGOS/BRANDS - AUTO GENERATED DETAILED REPORTS OF DETECTIONS THE SOFTWARE ALSO INCLUDES BRAND RECOGNITION (OBJECT DETECTION) WITH AI (ARTIFICIAL INTELLIGENCE) MACHINE LEARNING. MODELS CAN BE TRAINED TO DETECT ANY OBJECT IMAGE SUCH AS: - LOGOS/BRANDS - PEOPLE, ANIMALS, VEHICLES - FIRE, SMOKE - ETC COMPATIBLE WITH USB HDMI VIDEO CAPTURE DEVICES. TURNS ANY PC INTO A MULTI CHANNEL VIEW, MULTI CHANNEL RECORDING TELEVISION SET. FOR MORE INFORMATION CONTACT info@iziadvertising.com www.iziadvertising.com

IZI FINGERPRINT - Tutorial #9 - Generating Reports From Recordings CSV

IZI FINGERPRINT - VIDEO AND AUDIO RECOGNITION SOFTWARE IZI-FINGERPRINT - CAPTURE DEVICES SETUP - RECORD TV & RADIO - MACHINE LEARNING AI (DEEP LEARNING) IZI-FINGERPRINT IS A SOFTWARE DESIGNED FOR RECORDING VIDEO AND AUDIO FROM VARIOUS SOURCES SUCH AS EXTERNAL DEVICES, ONLINE MEDIAS, WEBCAMS, YOUTUBE, LIVE STREAMS, CCTV CAMERAS, ETC. RECORDS MULTIPLE CHANNELS AND DEVICES SIMULTANEOUSLY. ALLOWS FOR CREATING DIGITAL FINGERPRINTS OF VIDEO AND AUDIO FILES TO BE AUTOMATICALLY DETECTED IF TRANSMITTED IN ANY OF THE MONITORED SOURCES. IT IS USED FOR MEDIA VERIFICATION PURPOSES FOR MEDIA AND ADVERTISING AGENCIES, GOVERNMENT AGENCIES, AND MANY OTHERS. - RECORD TV, RADIO, WEBCAMS, CCTV - MONITOR FINGERPRINTS AND LOGOS/BRANDS - AUTO GENERATED DETAILED REPORTS OF DETECTIONS THE SOFTWARE ALSO INCLUDES BRAND RECOGNITION (OBJECT DETECTION) WITH AI (ARTIFICIAL INTELLIGENCE) MACHINE LEARNING. MODELS CAN BE TRAINED TO DETECT ANY OBJECT IMAGE SUCH AS: - LOGOS/BRANDS - PEOPLE, ANIMALS, VEHICLES - FIRE, SMOKE - ETC COMPATIBLE WITH USB HDMI VIDEO CAPTURE DEVICES. TURNS ANY PC INTO A MULTI CHANNEL VIEW, MULTI CHANNEL RECORDING TELEVISION SET. FOR MORE INFORMATION CONTACT info@iziadvertising.com www.iziadvertising.com

IZI FINGERPRINT - Tutorial #2 - Configuring Media Channels

IZI FINGERPRINT - VIDEO AND AUDIO RECOGNITION SOFTWARE IZI-FINGERPRINT - CAPTURE DEVICES SETUP - RECORD TV & RADIO - MACHINE LEARNING AI (DEEP LEARNING) IZI-FINGERPRINT IS A SOFTWARE DESIGNED FOR RECORDING VIDEO AND AUDIO FROM VARIOUS SOURCES SUCH AS EXTERNAL DEVICES, ONLINE MEDIAS, WEBCAMS, YOUTUBE, LIVE STREAMS, CCTV CAMERAS, ETC. RECORDS MULTIPLE CHANNELS AND DEVICES SIMULTANEOUSLY. ALLOWS FOR CREATING DIGITAL FINGERPRINTS OF VIDEO AND AUDIO FILES TO BE AUTOMATICALLY DETECTED IF TRANSMITTED IN ANY OF THE MONITORED SOURCES. IT IS USED FOR MEDIA VERIFICATION PURPOSES FOR MEDIA AND ADVERTISING AGENCIES, GOVERNMENT AGENCIES, AND MANY OTHERS. - RECORD TV, RADIO, WEBCAMS, CCTV - MONITOR FINGERPRINTS AND LOGOS/BRANDS - AUTO GENERATED DETAILED REPORTS OF DETECTIONS THE SOFTWARE ALSO INCLUDES BRAND RECOGNITION (OBJECT DETECTION) WITH AI (ARTIFICIAL INTELLIGENCE) MACHINE LEARNING. MODELS CAN BE TRAINED TO DETECT ANY OBJECT IMAGE SUCH AS: - LOGOS/BRANDS - PEOPLE, ANIMALS, VEHICLES - FIRE, SMOKE - ETC COMPATIBLE WITH USB HDMI VIDEO CAPTURE DEVICES. TURNS ANY PC INTO A MULTI CHANNEL VIEW, MULTI CHANNEL RECORDING TELEVISION SET. FOR MORE INFORMATION CONTACT info@iziadvertising.com www.iziadvertising.com

IZI FINGERPRINT - Tutorial #5 - Testing Machine Learning Models

IZI FINGERPRINT - VIDEO AND AUDIO RECOGNITION SOFTWARE IZI-FINGERPRINT - CAPTURE DEVICES SETUP - RECORD TV & RADIO - MACHINE LEARNING AI (DEEP LEARNING) IZI-FINGERPRINT IS A SOFTWARE DESIGNED FOR RECORDING VIDEO AND AUDIO FROM VARIOUS SOURCES SUCH AS EXTERNAL DEVICES, ONLINE MEDIAS, WEBCAMS, YOUTUBE, LIVE STREAMS, CCTV CAMERAS, ETC. RECORDS MULTIPLE CHANNELS AND DEVICES SIMULTANEOUSLY. ALLOWS FOR CREATING DIGITAL FINGERPRINTS OF VIDEO AND AUDIO FILES TO BE AUTOMATICALLY DETECTED IF TRANSMITTED IN ANY OF THE MONITORED SOURCES. IT IS USED FOR MEDIA VERIFICATION PURPOSES FOR MEDIA AND ADVERTISING AGENCIES, GOVERNMENT AGENCIES, AND MANY OTHERS. - RECORD TV, RADIO, WEBCAMS, CCTV - MONITOR FINGERPRINTS AND LOGOS/BRANDS - AUTO GENERATED DETAILED REPORTS OF DETECTIONS THE SOFTWARE ALSO INCLUDES BRAND RECOGNITION (OBJECT DETECTION) WITH AI (ARTIFICIAL INTELLIGENCE) MACHINE LEARNING. MODELS CAN BE TRAINED TO DETECT ANY OBJECT IMAGE SUCH AS: - LOGOS/BRANDS - PEOPLE, ANIMALS, VEHICLES - FIRE, SMOKE - ETC COMPATIBLE WITH USB HDMI VIDEO CAPTURE DEVICES. TURNS ANY PC INTO A MULTI CHANNEL VIEW, MULTI CHANNEL RECORDING TELEVISION SET. FOR MORE INFORMATION CONTACT info@iziadvertising.com www.iziadvertising.com

Introduction to Machine Learning with ML.NET - Global AI Developer Days 2022

Introduction to Machine Learning with ML.NET by Mr. David Patrick. He is also a Microsoft MVP with 30+years experiences and Also an MCT since 2001. ML.Net is another hot topic in .Net ecosystem. It gives capabilities to develop machine learning and AI models to .NET Applications. Come and get immersed into the world of machine learning with this introduction and demonstration of the ML.NET. We’ll show how to create an app that can predict the type of iris flower based on features such as petal length. We’ll show how to download and install ML.NET, create a data set, write the required c# code and run the finished app.

Is Stability turning into OpenAI?

#stablediffusion #aiart #openai Stability AI has stepped into some drama recently. They are accused of a hostile takeover of the community-led sub-reddits and Discord servers, of going after an alternative web UI, and of falsely dealing out IP takedown notices. OUTLINE: 0:00 - Intro 2:40 - Stability takes over community Discord & Reddit 14:50 - AUTOMATIC1111 web UI, stolen or not ? 24:50 - Stable Diffusion 1.5 takedown request 31:20 - Scary: Stability CIO statement on safety & openness References: https://ift.tt/tRsZGgz https://ift.tt/qt6OzP8 https://ift.tt/F9JWPsy https://ift.tt/rIs9xBv https://ift.tt/rIs9xBv https://ift.tt/nQkbJcy https://ift.tt/x3RkpTP https://ift.tt/NFkDW78 https://ift.tt/YhHl1qx https://ift.tt/9kZG8OQ https://ift.tt/QVirCY1 https://ift.tt/gK1YUWi https://ift.tt/QiC4agZ https://ift.tt/5Nws6Dv https://ift.tt/jVEmliO https://ift.tt/FtKEmrY https://ift.tt/QMZxjaW https://ift.tt/4S2FBqP https://ift.tt/SgJxsy5 https://ift.tt/Xxur5vW https://ift.tt/yuan3FP https://ift.tt/35bCATi https://ift.tt/6UAPfwB Links: Homepage: https://ykilcher.com Merch: https://ift.tt/S4Ahl90 YouTube: https://www.youtube.com/c/yannickilcher Twitter: https://twitter.com/ykilcher Discord: https://ift.tt/EUPon0r LinkedIn: https://ift.tt/Wc2LuXb If you want to support me, the best thing to do is to share out the content :) If you want to support me financially (completely optional and voluntary, but a lot of people have asked for this): SubscribeStar: https://ift.tt/DkujEsv Patreon: https://ift.tt/PzNeLdI Bitcoin (BTC): bc1q49lsw3q325tr58ygf8sudx2dqfguclvngvy2cq Ethereum (ETH): 0x7ad3513E3B8f66799f507Aa7874b1B0eBC7F85e2 Litecoin (LTC): LQW2TRyKYetVC8WjFkhpPhtpbDM4Vw7r9m Monero (XMR): 4ACL8AGrEo5hAir8A9CeVrW8pEauWvnp1WnSDZxW7tziCDLhZAGsgzhRQABDnFy8yuM9fWJDviJPHKRjV4FWt19CJZN9D4n

Remote physiotherapy at scale with IncludeHealth - Made with TensorFlow.js

Meet Ryan Eder, Founder and CEO of IncludeHealth, who’s changing the medical industry by making it more accessible using Web ML and TensorFlow.js by delivering an AI-powered platform directly to patients for at-home physical therapy treatments using a regular webcam and browser. Ryan talks about IncludeHealth’s musculoskeletal operating system (MSK-OS), the inspiration behind starting the work, and the final solution. Learn for yourself how IncludeHealth helps to digitize physical therapy by partnering with health systems, PT networks, and orthopedic groups in a privacy preserving way that scales. Try it for yourself: Website: https://goo.gle/3fWbHZk Blog Post: https://goo.gle/3RQTv0j Want to be on the show? Use #MadeWithTFJS or #WebML to share your own creations on social media and we may feature you in our next show. Catch more #MadeWithTFJS interviews → http://goo.gle/made-with-tfjs Subscribe to the TensorFlow channel → https://goo.gle/TensorFlow