Please hand out your 1 course paper and 5 selected homework (or exercises) by 2020-06-01.
All homework and exercises must be implemented in Python and with TensorFlow (optionally)
- Homework 01 ⇒ Curve fitting
- Homework 02 ⇒ PCA
- Homework 03 ⇒ 2D MOG and mean shift
- Homework 04 ⇒ L-M algorithm
- Homework 05 ⇒ 2D SVM
All homework must be implemented in the jupyter notebook. Please follow this instruction to write a corresponding report for each homework.
- Exercise 01 ⇒ Gaussian distribution and its conjugate prior
- Exercise 02 ⇒ kernel PCA
- Exercise 03 ⇒ RPCA
- Exercise 04 ⇒ ISOMAP and LLE
Please hand out full source code in Python as well as report for every homework to TA.