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]