| Week | Content | HW | Due |
| week 1 1/18 |
Course
Intro Linear Regression Regularization Cross Validation |
HW0 (optional) | |
| week 2 1/25 |
Perceptron SVM Kernels |
HW1 | |
| week 3 2/1 |
Logistic Regression Gradient Descent + SGD |
||
| week 4 2/8 |
Neural Networks | ||
| week 5 2/15 |
Tensorflow | ||
| week 6 2/22 |
Project
Intro Review |
HW2 | HW1 |
| week 7 3/1 |
Midterm | ||
| week 8 3/8 |
Deep Learning | ||
| week 9 3/15 |
ConvNets with Tensorflow | HW3 | HW2 project team |
| week 10 3/22 |
Spring break | ||
| week 11 3/29 |
no class | ||
| week 12 4/5 |
Clustering GMM and EM |
||
| week 13 4/12 |
GMM
and EM HMM |
HW4 | HW3 |
| week 14 4/19 |
Learning
Theory VC dimension |
||
| week 15 4/26 |
TBA | ||
| week 16 5/3 |
Project Presentation | project HW4 |
|
| week 17 5/10 |
Final |