This workshop gives an introduction about Tensorflow.JS which in an open source Javascript Library that allows running machine learning models on the browser itself and helps integrate the models with web applications. Tensorflow.JS gives creators working with Web Development a powerful tool to use with their web apps to create dynamic web apps using machine learning. It gives these creative professionals a lot of dynamic tools and utilize Machine learning in a really easy way to create powerful and intuitive applications without having much / no knowledge of machine learning before hand.
Conventional methods of uploading machine learning models for web applications can be a daunting task for web developers who specialize in Javascript. Learning Python, deployment of models, cross referencing machine learning models made in Python using APIs in Nodejs backend environment are some of the additional requirements for a web developer with little or no experience in Python or Machine Learning. The developers might require powerful CPUs/GPUs to be used for training of the models. This is where Tensorflow.JS ( TFJS ) comes into the picture. It allows standard machine learning libraries and models to be used directly with Javascript. It runs the models on the Browser ( client side ), or on the backend with Nodejs. And it makes it really easy for the Javascript developers to integrate machine learning models without much knowledge behind how these models work.

Structure / Table of Contents :
1. Introduction to Tensorflow.JS
2. Benefits of running Tensorflow.js with Nodejs on backend and on Frontend/Client Side
3. Workshop to build a project using TensorFlowjs during live demonstration