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
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