#tensorflow

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TensorFlow is a powerful open-source software library for numerical computation and machine learning. It provides libraries and tools for developers to create and deploy machine learning models that can be used to solve a variety of tasks, such as predicting outcomes, recognizing patterns, and understanding natural language. TensorFlow also allows developers to use JavaScript to build and run machine learning models with the help of its JavaScript API. This makes it easier for developers to develop and deploy machine learning models in JavaScript applications.
Hands on with TensorFlow.js
ML conf EU 2020ML conf EU 2020
160 min
Hands on with TensorFlow.js
Workshop
Jason Mayes
Jason Mayes
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.
Intro to AI for JavaScript Developers with Tensorflow.js
JSNation Live 2021JSNation Live 2021
81 min
Intro to AI for JavaScript Developers with Tensorflow.js
Workshop
Chris Achard
Chris Achard
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.