Creative Machine Learning

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20.318 Creative Machine Learning


Immanuel Koh

About The Projects

A series of experimental design explorations appropriating artificial intelligence (A.I.) in the generation of architectural and urban designs. Major architectures of deep networks implemented during the course include, fully connected neural networks, convolutional neural networks (CNNs), generative adversarial networks (GANs), variational autoencoders (VAEs)…etc.

Students Involved

Tan Jee Khang Benedict
May Thinzar Lin
Cher Jia Xi, Jane
Ye Huzheng
Lim Xin Yan
Chin Kee Ting
Lee Qian Yi Jeanette
Nurul Nabilah Izzati Bte Rohaizad
Sean Lee Jun Wei
Wan Mengcheng
Naomi Marcelle Bachtiar
Sim I-En, Grace
Kyaw Htet Paing
Lee Hsien Toong
Samson Sim
Simon-Kyle Rocknathan
Benjamin Chong Mun Choen
Chiew Jia Hui
Abdul Irfan Hadi Bin Amir
Ho Di Xiang Darren
Sodano Michele
Tina Cerpnjak (Aalto)
Joonas Hermanni Saarinen (Aalto)

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