ECE421-Introduction-to-Machine-Learning
Description
Python assignments of ECE421 (Winter 2020) at the University of Toronto.
A1: Linear regression, logistic regression, and comparison between batch gradient descent, SGD and Adam optimizer.
A2: Neural networks in Numpy and Tensorflow.
A3: K-means algorithm and Mixtures of Gaussians.
Assignments Grades
A1: 53/53
A2: 32/32
A3: 22.5/25
Contributors
Jiani Li
Sophie Shiyi Zhang
Sarah Tianyi Wang
Contact
If you find any bugs in my code, or you have any questions, or you just want to chat, please do not hesitate to contact me :)
Email: nini.li@mail.utoronto.ca
or WeChat: Ljn13951644751