Teaching
Introduction
Here are list of slides that I used for presentations.
Invited Talks
Janelia Symposium 2020
Imitation_learning_to_understand_behaviour [
Presentation]
University of Guelph 2019
Fly Behaviour Modeling
Toronto Blockchain Week | Crypto Market Analysis & Insights 2019
Crypto Market Analysis, Crypto Analysis Tools & Data
BlockShow Americas 2018
AI Revolution: the Prediction Machine for the Crypto Market
BorealisAI 2017
AIFounded Search Engine & AI
OpenAI, ElementAI, BorealisAI, York University 2017
Exploring Deep Neural Network Loss Surfaces
Janelia Workshop on Machine Learning and Computer Vision 2016
Semi-Supervised Deep Recurrent Attention Writer
European Conference of Machine Learning 2015
An Empirical Investigation of Minimum Probability Flow Learning under Different Connection
Scoring and Classifying with Gated Auto-encoders
Q & A Session
Panel Interview on Machine Learning at University of Toronto Rotmat second year MBA class, Feb. 4 & 11 2015
Talk
Analyzing the Dynamics of Gated Auto-encoders at Guelph Machine Learning Group Meeting, Dec. 2 2014
[
PDF]
Guest Lecture
on Clustering & EM algorithm for Introduction to Machine Learning, Oct. 31 2013 & Nov. 11 2014
[
PDF]
Teaching
Tutorial Notes
for the students who are in engineering machinics, ENGG1210, Jan. 1 ~ April 16 2015
[
PDF]