Modeling lab
CH-315
2.13. Feature learning
This page is part of the content downloaded from 2.13. Feature learning on Saturday, 24 January 2026, 23:55. Note that some content and any files larger than 50 MB are not downloaded.
Description
In this lecture we give a brief introduction behind the main idea of neural networks which can do feature learning.
Page content
Lecture
Slides
Additional Resources/References
(1) About feature learning in NN: https://colah.github.io/posts/2014-03-NN-Manifolds-Topology/
(2) About convolutions: https://medium.com/datatype/deeplearning-ai-cnn-week-1-a0bac10d509b
(3) About RNNs: http://www.wildml.com/2015/09/recurrent-neural-networks-tutorial-part-1-introduction-to-rnns/
(4) Implementing a NN from scratch in Python http://www.wildml.com/2015/09/implementing-a-neural-network-from-scratch/
(5) A nice animation of how CNNs work: https://cs231n.github.io/assets/conv-demo/index.html