CS 445 Machine Learning
Fall 2020
Week 10 Study Guide
Learning Objectives
- Highlight the limitations of linear models with respect to neural networks
-
Characterize and develop algorithms for implementing
multi-layer neural networks including:
- the role of the activiation function
- the behaviour of different activation functions
- backward and forward propogation
- automatic differentiation
Resources
- Reading Material
- Website for Neural Network Visualization
- Lecture Slides
Deliverables
| Topic | Description |
| Bias Variance Lab | Complete the in-class assignment and submit to Canvas |
| Random Forest lab | Complete the in-class assignment and submit to Canvas |