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Jason Mayes

Jason Mayes

Jason is the public face of Web AI and TensorFlow.js at Google, helping web engineers around the world take their first steps with machine learning in JavaScript. Jason is the author of the 1st Web ML course on Google Developers and EdX, that has enabled over 40,000 students to start their journey with Machine Learning in the browser. He also combines his knowledge of the technical and creative worlds to develop innovative prototypes for Google's largest customers and internal teams with over 15 years experience working within web engineering and investigating emerging technologies. Jason also hosts the popular Made with TensorFlow.js show on the TensorFlow YouTube channel giving a voice to Web ML developers across industries globally. He holds an MEng in Computer Science, is a member of the British Computing Society, and is a certified information privacy technologist. Jason loves sharing knowledge online which has attracted a global following.
Google, USAjasonmayes.comjason_mayesjasonmayesWebAI
Web Apps of the Future With Web AI
JSNation 2024JSNation 2024
32 min
Web Apps of the Future With Web AI
AI is everywhere, but why should you care, as a web developer? Join Jason Mayes, Web AI Lead at Google, who will get you on track by demystifying common terminology ensuring no one is left behind, and then take you through some of the latest machine learning models, tools, and frameworks you can use right in the browser via JavaScript to help you bring your creative web app ideas to life for almost any industry you may be working in. By moving AI to the client side, there is no reliance on the server after the page load, bringing you benefits such as privacy, low latency, offline solutions, and lower costs which will be of growing importance as the field develops. This talk is suitable for everyone with a curiosity for web and machine learning, so come along and learn something new to put in your web engineering toolkit for 2024.
artificial intelligence
Hands on with TensorFlow.js
ML conf EU 2020ML conf EU 2020
160 min
Hands on with TensorFlow.js
Workshop
Come check out our workshop which will walk you through 3 common journeys when using TensorFlow.js. We will start with demonstrating how to use one of our pre-made models - super easy to use JS classes to get you working with ML fast. We will then look into how to retrain one of these models in minutes using in browser transfer learning via Teachable Machine and how that can be then used on your own custom website, and finally end with a hello world of writing your own model code from scratch to make a simple linear regression to predict fictional house prices based on their square footage.
tensorflowmachine learning
TensorFlow.js 101: ML in the Browser and Beyond
ML conf EU 2020ML conf EU 2020
41 min
TensorFlow.js 101: ML in the Browser and Beyond
Discover how to embrace machine learning in JavaScript using TensorFlow.js in the browser and beyond in this speedy talk. Get inspired through a whole bunch of creative prototypes that push the boundaries of what is possible in the modern web browser (things have come a long way) and then take your own first steps with machine learning in minutes. By the end of the talk everyone will understand how to recognize an object of their choice which could then be used in any creative way you can imagine. Familiarity with JavaScript is assumed, but no background in machine learning is required. Come take your first steps with TensorFlow.js!
tensorflowmachine learninginnovationtensorflow react
TensorFlow.JS 101: ML in the Browser and Beyond
JSNation Live 2021JSNation Live 2021
39 min
TensorFlow.JS 101: ML in the Browser and Beyond
Discover how to embrace machine learning in JavaScript using TensorFlow.js in the browser and beyond in this speedy talk. Get inspired through a whole bunch of creative prototypes that push the boundaries of what is possible in the modern web browser (things have come a long way) and then take your own first steps with machine learning in minutes. By the end of the talk everyone will understand how to recognize an object of their choice which could then be used in any creative way you can imagine. Familiarity with JavaScript is assumed, but no background in machine learning is required. Come take your first steps with TensorFlow.js!
tensorflowmachine learning