CS 4724 creditsPrereq: CS 242 with minimum grade C
CS 472: Introduction to Deep Learning
No student reviews yet
Planning Spring 2027? Save classes to your plan.
No ratings yet
We don't have ratings, grades or reviews for CS 472 yet.
Below: what the catalog says, the CS classes numbered next to it and how Computer Science classes rate at Pace.
Yours would be the first. About two minutes, anonymous.
Took CS 472? How hard was it?
1 is easy, 5 is hard. Anonymous, no account.
Difficulty
What we know
- From the catalog
- Covers machine learning and deep learning data analytics including preparation, modeling, prediction, clustering, regression, classification, decision trees, and text analysis. Introduces TensorFlow, Keras, Python API, and Anaconda platforms.
- Credits
- 4
- Department
- Computer Science
Classes next to CS 472
CS courses at Pace with the closest numbers
- CS 377Mathematical Foundations of Machine LearningNo ratings yet
- CS 385Artificial Intelligence INo ratings yet
- CS 387Database DesignNo ratings yet
- CS 395Data Science with Python and RNo ratings yet
- CS 472Introduction to Deep LearningThis class
- CS 488Internet and Distributed ComputingNo ratings yet
- CS 491Software EngineeringNo ratings yet
How Computer Science classes rate at Pace
0–100 scores from ratings across the web
Highest rated
Most challenging
What students say
Be the first to review CS 472
Six short steps, about two minutes. Anonymous, no account, no email.