[Online] Machine Learning in JavaScript: An Introduction to TensorFlowJS

## Link to join the webinar here:

https://www.bigmarker.com/neo4j/Data-Umbrella-Webinar

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Video Recording
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This event will be recorded and placed on our YouTube. We usually have it up within 24 hours of the event. Subscribe to our YouTube and set your notifications:
https://www.youtube.com/c/DataUmbrella/

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Time
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9am PT / 12pm ET / 7pm EAT / 9:30 PM IST

## Speaker

Shivay Lamba

## Talk Level

Beginner

## Pre-reqs

Basics of HTML, CSS, JavaScript.

## Prep Work

Install VS Code.

## Resources

https://www.tensorflow.org/js

## Event

This workshop gives an introduction about Tensorflow.JS which is 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 utilizes Machine learning in a really easy way to create powerful and intuitive applications without having much / no knowledge of machine learning beforehand. 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

## Speaker

Shivay Lamba is a software developer specializing in DevOps, Machine Learning and Full Stack Development. He is an Open Source Enthusiast and has been part of various programs like Google Code In and Google Summer of Code as a Mentor and has also been a MLH Fellow. He has also interned at organizations like EY, Genpact. He is actively involved in community work as well. He is a TensorflowJS SIG member, Mentor in OpenMined and CNCF Service Mesh Community, SODA Foundation and has given talks at various conferences like Github Satellite, Voice Global, Fossasia Tech Summit, TensorflowJS Show & Tell.

LinkedIn: https://www.linkedin.com/in/shivaylamba
Twitter: https://twitter.com/howdevelop
GitHub: https://github.com/shivaylamba

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