Generating Shapes from Sketches
Renaud Danhaive & Diego Pinochet
This course encourages students to carry out projects that use deep learning. Students use state-of-the-art techniques such as convolutional neural networks, recurrent neural networks, generative adversarial networks, and embedding to solve modern problems.
This site is meant to showcase the final projects presented by the students at the end of the semester.
This page links to all of our students' blog posts. You can see their presentations here and their code repositories here.
The course curriculum from Fall 2018 can be found here.
Renaud Danhaive & Diego Pinochet
Sai Sameer Pusapaty & Patrick Wang
Lucy Li & Hayley Bergman
Robert M. Vunabandi & Jürgen Cito
Xinyi Chen & Toru Lin
Cole Hoffer & Bibek Pandit
Farita Tasnim & Maurizio Diaz
Timothy Chong
Marwa Abdulhai & Adrian Meza
Fredric Moezinia & Nikhil Bhatia
Sabina Chen & Burhan Azeem
Shohini Stout