To do

  • Same as yesterday
  • Go over virtual worlds multi object tracking paper with the reading group

Done

  • Still working on Part 1. I managed to get the error down to 36.2%! This is without using a deep net.
  • Started adding more layers to my network. It increases error up to ~39% due to overfitting
  • We read the virtual worlds multi object tracking paper
  • We went over kernels in-depth
    • I finally get the intuition behind kernels but I need to check out the math for representing the minimization problem in terms of training data instead of features