1. Watch the following Coursera ML videos in preparation for the next class. The first set of videos will be helpful for understanding how SGD works, for HW 3, and retroactively for HW 2.
WEEK 10 Large Scale Machine Learning 5 Video: Learning With Large Datasets 13 Video: Stochastic Gradient Descent 6 Video: Mini-Batch Gradient Descent 11 Video: Stochastic Gradient Descent Convergence WEEK 7 Support Vector Machines 14 Video: Optimization Objective 49 min
2. Make some headway on HW 3. Try to get through test 5 (feed forward), and start to tackle back propagation, which is the hardest part. We will spend additional class time on Monday on HW 3.