INFO-I 418 DEEP LEARNING NEURAL NETWORKS (3 CR.)
Deep learning has resurged with the availability of massive datasets and affordable computing, enabling new applications in computer vision and natural language processing. This course introduces convolutional, recurrent, and other neural network architectures for deep learning. Students design, implement, and train these models to solve real-world problems.
1 classes found
|LEC||3||39496||Open||6:00 p.m.–8:40 p.m.||R||IT 160||Chakraborty S
Regular Academic Session / In Person
LEC 39496: Total Seats: 48 / Available: 48 / Waitlisted: 0Show Details for section 39496
- Prerequisite: Math 171 and CSCI 23000 or CIT 21500 or CIT 24200 or CIT 27000 or INFO-I223 or INFO-I210 and ECON E270 or PHBL B300 or PHBL B301 or PHBL B302 or PSY B305 or SPEA K300 or STAT 30100 or STAT 35000