What to expect in the course
What is a Neural Network?¶


How does it relate to other terms in the field¶
Comparison with other courses¶
ECE 491/591: Deep Learning (Dr Yifeng Zhu)
We will dive deeper on backpropagation. We will implement your on Pytorch library.
We are more theoretical, less towards application than ECE 491.
COS 475/575: Machine Learning (Dr Chaofan Chen)
There are other kinds of ML algos (SVM, Gaussian Processes, Decision trees, Random Forests, Nearest Neighbors).
We will be focused on Neural Networks.
COS 470/570: Introduction to Artificial Intelligence
Searching for solutions
Neural Networks are more about pattern matching.
COS 498/598: Explainable AI (Dr Chaofan Chen)
Focuses on explainability of Neural Networks
Syllabus¶
Linked here: Syllabus