Build a UI that Learns - Intelligent Prefetching with React and TensorFlow.js

Eliran Natan

Charlie Gerard's Career Advice: Be intentional about how you spend your time and effort

Charlie Gerard

TensorFlow.js 101: ML in the Browser and Beyond

Hands on with TensorFlow.js

TensorFlow.JS 101: ML in the Browser and Beyond

Jason Mayes

Build a 3D Solar System with Hand Recognition and Three.js

Liad Yosef

Intro to AI for JavaScript Developers with Tensorflow.js

Chris Achard

Giving Superpowers to Your React Apps with Machine Learning

Machine Learning in Node.js using Tensorflow.js

Shivay Lamba

Boost Productivity with Keras Ecosystem

Haifeng Jin

Jan Tomes

JavaScript Beats Cancer

Karol Przystalski

ML conf EU

ML conf EU 2020

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!

React Summit

React Summit 2023

Have you ever questioned whether Javascript is a viable alternative to Python or R for creating machine learning models? After all, a 2019 survey by Stack Overflow found that Javascript is the language that developers use the most. Given that machine learning models like neural networks require a lot of computational power and that javascript was not intended for high-speed computing, this approach seems unreasonable. But hold on, this not entirely true, as javascript libraries like Onnx.js and Tensorflow.js are here to save the day! I'll be going into further detail on how to create intuitive and innovative machine learning applications with React in this talk.

JS Nation

JSNation 2022

Skin cancer is a serious problem worldwide but luckily treatment in the early stage can lead to recovery. JavaScript together with a machine learning model can help Medical Doctors increase the accuracy in melanoma detection. During the presentation, we show how to use Tensorflow.js, Keras and React Native to build a solution that can recognize skin moles and detect if they are a melanoma or a benign mole. We also show issues that we have faced during development. As a summary, we present the pros and cons of JavaScript used for machine learning projects.

We live in exciting times. Frameworks like TensorFlowJS allow us to harness the power of AI models in the browser, while others like Three.js allow us to easily create 3D worlds. In this talk we will see how we can combine both, to build a full solar system, in our browser, using nothing but hand gestures! <a href="https://www.froala.com/wysiwyg-editor?pb=1"></a>

TensorFlow has built a solid foundation for various machine learning applications, on top of which the Keras ecosystem can really boost the productivity of the developers in building machine learning solutions. Keras has a simple and arbitrarily flexible API for building and training models. However, we still need a lot of manual work to tune the hyperparameters. Fortunately, with Keras Tuner, we can automate the hyperparameter tuning process with minor modifications to the code for building and training the models. To further boost the productivity, we introduce AutoKeras, which fully automates the model building, training, and hyperparameter tuning process. It dramatically reduces the amount of prior knowledge needed of using machine learning for some common tasks. All you need is to define the task and to provide the training data. <a href="https://www.froala.com/wysiwyg-editor?pb=1"> </a>

Node Congress

Node Congress 2021

Write and deploy machine learning models easily in Nodejs using Tensorflow.js. <a href="https://www.froala.com/wysiwyg-editor?pb=1"> </a>

JSNation Live

JSNation Live 2021

React Summit Remote Edition

React Summit Remote Edition 2021

How to build a UI that LEARNS? Being able to learn and predict the behavior of users has many powerful applications, one of them is the chance to boost the UI performance prefetching code &amp; resources before the user reaches them. In this talk, we describe a high-level implementation of an intelligent prefetcher, using ReactJS and TensorFlow.js. We use neural networks to learn the user's behaviour, and leverages React's lazy-loading API to prefetch components according to predictions. There is a chance for Frontend developers to explore the powerful combination of UI and AI. <a href="https://www.froala.com/wysiwyg-editor?pb=1"> </a>

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. <a href="https://www.froala.com/wysiwyg-editor?pb=1"> </a>

Have you wanted to explore AI, but didn't want to learn Python to do it? Tensorflow.js lets you use AI and deep learning in javascript – no python required! We'll take a look at the different tasks AI can help solve, and how to use Tensorflow.js to solve them. You don't need to know any AI to get started - we'll start with the basics, but we'll still be able to see some neat demos, because Tensorflow.js has a bunch of functionality and pre-built models that you can use on the server or in the browser. After this workshop, you should be able to set up and run pre-built Tensorflow.js models, or begin to write and train your own models on your own data. <a href="https://www.froala.com/wysiwyg-editor?pb=1"> </a>

#tensorflow