The School of Computer Science Technical Workshop Series Presents: Deep Convolutional Neural Networks in Python by: Shaon Shuvo PhD Student

Friday, November 25, 2022 - 13:00 to 15:00

The School of Computer Science at the University of Windsor is pleased to present...

Technical Workshop Presentation by: Shaon Shuvo PhD Student

 Deep Convolutional Neural Networks in Python

Date: Friday, November 25th, 2022

Time: 1:30 pm – 3:00 pm

Location: 4th Floor (Workshop space) at 300 Ouellette Avenue (School of Computer Science Advanced Computing Hub)

LATECOMERS WILL NOT BE ADMITTED once the presentation has begun.



With the availability of data and increased computational power, deep learning applications and their popularity are growing exponentially. The main objective of this workshop is to provide introductory theoretical knowledge on deep learning and practical implementations using python programming language and associated packages. Therefore, participants will get an overall idea of deep learning and its applications. This workshop will also guide students on what they need to learn to build their careers in this field. Overall, the workshop shall work as a helpful starting point and will encourage participants to dig deeper into the field of deep


At the end of this workshop, active participants are expected to be able to:

1. Demonstrate the fundamental concept of deep CNN and implement it in python.

2. Tune hyperparameters to optimize the model’s performance.

3. Model’s performance evaluation and comparative analysis.

4. Identify what to learn to become an expert in this domain.



1. The participants are expected to have a minimum basic understanding of python programming language.

2. Basic knowledge of Machine Learning would be helpful to understand the concept.



Shaon is currently a Ph.D. student and Graduate Teaching Assistant in the School of Computer Science at the University of Windsor, Canada. Besides, I am also working as a Research Assistant and have already worked on various funded projects, including CIHR, NSERC, and Tire 1 Canada Research Chair program. I have skills in multiple fields of Artificial Intelligence, especially Machine Learning, Deep Learning and Agent-Based Modeling. I have research publications in journals and various top-tier conferences, including KDD and the best paper award in SSDBM’20. I also have more than five years of university-level teaching experience in multiple universities, including a recent sessional instructor position at the University of Windsor.