### CS 451 class prep 13

1. Watch the following
Coursera ML videos in preparation for the next class:
WEEK 7
Support Vector Machines
14 Video: Optimization Objective
10 Video: Large Margin Intuition
19 Video: Mathematics Behind Large Margin Classification (NOT optional!)
43 min

2. Make some headway on HW 3. Try to get through test 5 (feed forward),
so you are ready to tackle back propagation, which is the hardest part.
We will spend additional class time on Wed on HW 3.

3. At some point, while working on HW 3, check out the following additional
videos:
WEEK 10
Large Scale Machine Learning
[ 5 Video: Learning With Large Datasets - optional ]
13 Video: Stochastic Gradient Descent
6 Video: Mini-Batch Gradient Descent
[11 Video: Stochastic Gradient Descent Convergence - optional ]
19-35 min

This will be helpful for understanding how SGD works, for HW 3, and (retroactively)
for HW 2.