Subject/Course Search Results

CSE 849  Deep Learning (Interim New)


Semester
Spring of every year
Credits
Total Credits: 3   Lecture/Recitation/Discussion Hours: 3
Recommended Background
MTH 314 and STT 441 or equivalent CSE 841 or 842 or 847
Restrictions
Open to graduate students in the Department of Computer Science and Engineering or approval of department.
Description
Deep neural networks are a class of machine learning algorithms that are originally inspired by the brain, but have witnessed considerable success in real-world applications in artificial intelligence. These methods are at the core of production systems at companies like Google, Facebook, Amazon etc. for image processing, speech processing, and language understanding. This course will give an overview of both the foundational ideas and the recent advances in deep neural network algorithms and applications.
Effective Dates
FALL 2022 - Open