MLT Workshop: TensorFlow.js

-- REGISTRATION FORM --
https://forms.gle/CXvwDBz9PCFjcdSn8
To be able to participate in this workshop you have to register in this Google form. Since we will be at the Google office there will be a formal reception.

In this workshop we will learn how to deploy a Deep Learning model in the browser using TensorFlow.js. Here are some cool demos https://www.tensorflow.org/js/demos/.

-- SCHEDULE --
11:30 Doors open
12:00 - 13:00 Intro to TF.js
13:00 - 13:45 Lunch break
13:45 - 14:15 Basic web skills and browser demo

• Installing packages with Yarn
• Running a development server
• Basic GUI and js
  14:15 - 15:15 Running tf.js converter on a Keras pre-trained model
  15:15 - 15:30 Break
  15:30 - 16:30 Loading the model and running it with important concepts like tf.Model, tf.tidy, tf.nextFrame
  16:30 - 17:00 Deploying on GitHub pages (bonus)

-- PREREQUISITE --

• Basic knowledge of machine learning/deep learning and Python coding. We will be using Keras.
• Basic web programming (HTML, JS) knowledge is preferred.

-- THINGS TO PREPARE --

• Have a GitHub account
• Install nodejs https://nodejs.org/en/
• Install Yarn on laptop (https://yarnpkg.com/lang/en/docs/install/#mac-stable)
• Strongly recommended to use Mac OS or Linux with Google Chrome. Use Windows at your own risk.

-- INSTRUCTORS --
Reiichiro Nakano is a software engineer working at a startup in Tokyo. His main interests are machine learning for creativity and machine learning in the browser. https://reiinakano.github.io/repos/

Kai Sasaki is a software engineer at Arm Treasure Data, an enterprise-level CDP provider based on cloud technology, where he is working on maintaining scalable distributed systems for big data analysis. Kai is the co-author of "Deep Learning in the Browser" from bleeding edge press and enthusiastic about contributing to open source software like Hadoop/Presto/TensorFlow.js. https://www.lewuathe.com/menu/about.html

-- THANK YOU --
Thank you to Google Japan for providing the beautiful office space and hosting us!

-- JOIN US --
ML engineers, researchers and students can join MLT on:
[Slack] https://goo.gl/WnbYUP

-- MLT PATRON --
Become a MLT Patron and help us to keep MLT meetups like this inclusive and for free. https://www.patreon.com/MLTOKYO

Find MLT resources
Github: https://github.com/Machine-Learning-Tokyo
Youtube: https://www.youtube.com/MLTOKYO

-- RECRUITING --
MLT events are for community building and knowledge sharing. We politely ask that company representatives, recruiters and consultants looking to hire or sell their services do not come to this event. Thank you.