Building Machine Learning Web Apps with Tensorflow.js

Building Machine Learning Web Apps with Tensorflow.js

As a web developer, you may have felt that all this buzz and excitement about machine learning seems to require Python, and how you, as a JavaScript developer, can jump in and use machine learning. I want to show you, that now, machine learning in JavaScript is real, powerful, and useful, and you can do some amazing things with it.

Tensorflow javascript machinelearning

Bootstrap 5 Complete Course with Examples

Bootstrap 5 Tutorial - Bootstrap 5 Crash Course for Beginners

Nest.JS Tutorial for Beginners

Hello Vue 3: A First Look at Vue 3 and the Composition API

Building a simple Applications with Vue 3

Deno Crash Course: Explore Deno and Create a full REST API with Deno

How to Build a Real-time Chat App with Deno and WebSockets

Convert HTML to Markdown Online

HTML entity encoder decoder Online

Unlocking the power of ML for your JavaScript applications with TensorFlow.js

In this talk, you will learn about the TensorFlow.js ecosystem: how to bring an existing machine learning model into your JS app, re-train the model using your data, and go beyond the browser to other Javascript platforms

TensorFlow for JavaScript

TensorFlow for JavaScript. TensorFlow.js is the recently-released JavaScript version of TensorFlow that runs in the browser and Node.js

TensorFlow for JavaScript

<strong>TensorFlow.js is the recently-released JavaScript version of TensorFlow that runs in the browser and Node.js. In this talk, the team introduced the TensorFlow.js ML framework, and showed with demo on how to perform the complete machine-learning workflow, including the training, client-side deployment, and transfer learning.</strong>

The essential JavaScript concepts that you should understand

The essential JavaScript concepts that you should understand - For successful developing and to pass a work interview

Machine Learning in JavaScript with TensorFlow.js

TensorFlow.js is a library for Machine Learning in JavaScript. Develop ML models in JavaScript, and use ML directly in the browser or in Node.js. Interested in using Machine Learning in JavaScript applications and websites? If you’re a Javascript developer who’s new to ML, TensorFlow.js is a great way to begin learning. Or, if you’re a ML developer who’s new to Javascript, read on to learn more about new opportunities for in-browser ML.