Building a Food Classifier App End-to-End: Walk-through & Sharings


Please register here ->

!!==About Workshop==!!

A walk-through of creating a food classifier webapp from data to deployment and sharing of lessons learnt.

!!==About Instructor==!!

Yoke Keong Wong is currently a Masters Candidate at NUS deepening his expertise in Artificial Intelligence methods and the design of Intelligent Systems and has 9 years of industry experience working with various clients in the Financial Services and Insurance sectors.

Yoke has previously led Go-To-Market initiatives in Application Transformation and Big Data Analytics with a global US technology company, assisting customers to accelerate their Digital Transformation Initiatives. Prior to this, Yoke was with a leading UK Bank and collaborated with business and technology stakeholders globally to deliver transformation projects solving Sales and Services challenges.


1. Overview
2. Sharing of learnings and walkthrough of
- Data Collection
- Data processing pipeline with
- Training an Image Classifier Model with tf.keras
- Deploying webapp using Google Cloud Run from GitHub

!!=== Prerequisites==!!
Basic understanding of Cloud Computing Platforms and Machine Learning Cycle