S02E09- Introduction to Representation Learning 2

Technical Phd Seminar Series ETH Zurich, Department of Architecture. Streamed on May 29, 2018. Vahid Moosavi - Machine Learning and Engineering Applications S02E09- Introduction to Representation Learning 2 Github Repo: https://github.com/sevamoo/data_driven_modeling_2018 Topics: - Fourier transform as a specific kind of convolution - Conceptual alignments between Fourier transform, PCA and polynomial regression - Deep Convolutional Nets: What if we just learn the kernels in a deep (cyclic) transformation - Compositionality and hierarchical structures - Applications in Urban studies and engineering problems