ICML 2020-WIML Unworkshop Breakout Session
July 2020
Gave a session on "A Review of Early Exit Training and Inference Technique"The session covered the applications of Early Exits to Edge Computing, NLP and Computer Vision
Practical Data Science through Kaggle Competitons
This talks was an introduction to how to effectively use these Kaggle tools and then show you how you can solve a data science task using Kaggle
- GDG Brunei-Speaker:Feb 2021
- Graduate Student Association:Nanyang Technological University, Singapore
Quantization in Neural Networks
Quantization is a process of optimising neural networks, especially for edge computing. In this process, you can convert 64/32 floating bit MAC operations to 8 bit(integer)
- ML Developer Day, GDG Singapore: May 2020
- SHALA, IIT Bombay: August 2020
- Google Dev Fest- Keynote Speaker: Bandung, December 2019
Edge Computing using Neural Compute Stick
Deployment of Deep Learning Models for Image Classification using OpenVINO and Intel DevCloud
Data Science Applications in Smart Grid Systems
This talk covers the challenges to the current smart grid systems and how deep learning can help solve it