Machine Learning in JavaScript for Beginners

1,107.00  inc. VAT

Start: December 3, 2018 Finish: 9:00 am - 5:00 pm
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Machine Learning in JavaScript for Beginners #1

900.00 
Category:

Description

PLN 900 + VAT  | 3.12.2018, Warsaw, Poland

Perfect your technical skills. Enroll to the Tech Master Class @ FRONTEND CON 2018.  Choose your favorite trainer & subject.

Workshop ticket includes:

  • 1 full-day (8h) of engaging tech workshop
  • Access to a ton of useful information & real-world examples presented by knowledgeable instructors
  • All inclusive catering – lunch & coffee breaks

* ticket don’t include conference pass!

Machine Learning in JavaScript for Beginners

Many exciting things are happening with AI, from which, until recently, JavaScript developers were largely shut out. However, things are changing, now if you can do `npm install @tensorflow/tfjs` you can do AI, all in the browser. This absolute beginner workshop takes someone with no knowledge of Machine Learning and teaches them the basics; you’ll learn how to do linear and polynomial regression, auto-categorisation, how to build and train a neural network. How to save, load and run pre-trained neural networks. All explained in baby steps with a mix of 50% lecture and 50% hands-on lab exercises.

We teach how to use the popular TensorFlow.JS library, a complete re-write of the popular TensorFlow package into JavaScript. If you have ever been interested in Machine Learning, if you want to get a taste for what this exciting field has to offer, if you want to be able to talk to other Machine Learning/AI specialists in a language they understand, then this workshop is for you!

Taught by Asim Hussain, co-organiser of the AI JavaScript London Meetup, co-creator of aijs.rocks, experienced course author with over 30K students on Udemy and author of the book Angular: From Theory to Practice.

Your Trainer: Asim Hussain, Developer Advocate @ Microsoft

Asim is a developer, trainer, author and speaker with over 16 years experience working for organisations such as the European Space Agency, Google and now Microsoft, where he is a Senior Cloud Developer Advocate.


Program Outline:

  • Overview of AI + ML
  • Neural Networks
  • The history of Tensorflow and Tensorflow.JS?
  • How to do Regression with Tensorflow.JS?
  • How to do Categorisation with Tensorflow.JS?
  • How to create a Neural Network using the Core API?
  • How to create a Neural Network using the Layers API?
  • How to save and loads a pre-built Neural Network Model?
  • How to train on the serverside with NodeJS?

Level: Beginner
Bring your own device.