ECE 324 is a new course in the Engineering Science Machine Intelligence Major, at the University of Toronto Faculty of Applied Science and Engineering. 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.
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Project: AER202 - A Neural Net for Plane Spotting
Students: Frederick Boyd and Daniel Ding. Final Report Source Code
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Project: RE-Search - Automatic Generation of Clothing Search Tags for Online Commerce
Students: Yanisa Khambanonda and Zhuoer Wang Final Report Source Code
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Project: PENN - Sentiment Detection for Specific Entities
Students: Eric Kielty and Gabriel Deza Final Report Source Code
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Project: Super-Resolution - Increasing Image Resolution
Students: Akino Watanabe and Anderson Zeng Final Report Source Code
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Project: MojiMi - Detection and Replacement of Emotion on Faces
Students: Kailin Hong and Eric Li Final Report Source Code
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Project: Trump’s Twitter Tricks - Predicting Effect of Trump’s Tweets on the Market
Students: Claire Dalkie and Calvin Herd Final Report Source Code
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Project: Signature Verification - Neural-Net-Based Signature Verification
Students: Tianchang Mei and Yize Zhao Final Report Source Code
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Project: SentiNel - Sentiment Detection for Specific Entities
Students: Sonali Day and Ayushi Shrivastava
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Project: Broad Brush - Painting Classification of Artist and Era
Students: Stephen Brade and Sandra Petkovic Final Report Source Code
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Project: FearNet - Detection of Pictures Causing Phobias
Students: Victor Yip and Avi Kraft Final Report Source Code
__________________________________________________________________________________________________Project: Reddit Classifier - Determining Sub-Reddit for a Post to Reddit
Students: Pranav Agnihotri and Daniel Mogilny Final Report Source Code
__________________________________________________________________________________________________Project: Coda - Classifying Instruments in Music
Students: Lisa Li and Mengyu Wang Final Report Source Code
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Project: ColourU - Colourization of Grayscale Pictures with Hints
Students: Alice Liang and Mark Abadir Final Report Source Code
__________________________________________________________________________________________________Project: MMANet - Predicting Outcome of MMA Fights
Students: Rui Gao and Johnny Ye Final Report Source Code
__________________________________________________________________________________________________Project: Rater Machine - Predicting Book Ratings from Reviews
Students: Charles Kim and Ruo Xie Final Report Source Code
__________________________________________________________________________________________________Project: HashTag - Predicting Hashtags from Pictures
Students: Yifang Pan and Tianqi Huang Final Report Source Code
__________________________________________________________________________________________________Project: Where2Spreddit - Classifying Subreddit from Reddit Posts
Students: Jason LI and Devansh Ranade Final Report Source Code
__________________________________________________________________________________________________Project: UndefeatablePokemonTrainer - Automatic Move Generation for Pokemon
Students: Richard Ben and Martyn Wei Final Report Source Code
__________________________________________________________________________________________________Project: RedditRank - Predicting the Ranking of a Reddit Post
Students: Murtaza Latif and Andrew Wang Final Report
__________________________________________________________________________________________________Project: RoadTo10K - Prediction of Dota2 Winners
Students: Ke Zhang and Haobang Wu Final Report Source Code