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MIE 324 is a new course in the Engineering Science Machine Intelligence Major, launched at the University of Toronto Faculty of Applied Science and Engineering in September 2018.  The purpose of the course is to provide an overview of the intuition and software engineering needed to build deep neural network-based models.  A key part of the course is projects, conceived and executed by the students.  This page serves as an archive for the final video presentations of those projects, the final reports and the source code for those projects that the students have given their permission to post. Below is the set of projects.

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Project Name: Clairvoyance -  An Automated Image Selection and Post-Processing Tool

Students: Kevin Zhang and Morris Chen

Final Report

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Project Name: Hawk Eye - Object Detection Using Lidar for Self-Driving Cars

Students: Phillip Huang and Allan Liu

Final Report  Source Code

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Project Name: Music Genre - Automatic Classification of Music Types

Students: Robert Adragna and Huang Hong (Bill) Sun

Final Report Source Code

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Project Name: SparseLang - Exploring Sparsity of Connections in RNN-Based Language Models

Students: Qingyang Guo and Yongchao Zhou

Final Report  Source Code

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Project Name: SPINN - Simple Pun Detection and Location

Students: Yan (Tina) He and Yu Shen (Lucy) Lu

Final Report  Source Code

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Project Name: Enhance - A Generative Adversarial Network for Image Upscaling

Students: Saad Jameel and Mohammad Mustafa Arif

Final Report  Source Code

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Project Name: WAYLA - What Are You Looking At?  Predicting what a person will pay attention to in a picture.

Students: Jin Peng Zhou and Hengrui Jia


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Project Name: SortingHat - An Intelligent Waste Item Classification Software

Students: Bob Cui and Marko Huang

Final Report  Source Code


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Project Name: ASL - American Sign Language Recognition

Students: Anna Deza and Danial Jason

Final Report  Source Code


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Project Name: Shift - Predicting Future Performance of Professional Hockey Players

Students: Jacob Mosseri and Christopher Mazzuca

Final Report  


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Project Name: AlgoRythm - Generation of Piano Music

Students: Jennifer Guo and Jason Shang

Final Report  Source Code

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Project Name: MoveMI - Hand Gesture Prediction based on Electromyography

Students: Jay Jaewon Yoo and David Zhang

Final Report  Source Code


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Project Name: Uncle Penny Bags - Prediction of Housing Prices based on Pictures and Location

Students: Oliver Liang and Diana Escoboza Salazar

Final Report  


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Project Name: Check This Out - Suggesting Video Games Based on Descriptions and Favourites

Students: Zhi Cheng and Yudong Xu

Final Report  Source Code


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Project Name: High HOEPS - Prediction of Real-Time Electrical Energy Prices in Ontario

Students: Sam Harrison and Yanchen Ma

Final Report  


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Project Name: MISweeper - A Deep Learning Approach to Astronomical Time-Series Classification

Students: Graham Hoyes and Daniil Orekhov

Final Report  Source Code

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Project Name: TimeMachiNet - Prediction of Human Image at Different Ages

Students: Woo Sik Kim and Anup Deb

Final Report  Source Code

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