SWE 248P
Neural Network Programming
Exploration of the concepts, terminology, and processes for training and using deep neural networks for classification problems. Topics include tensors and tensor operations, gradient-based optimization, feature engineering and learning, and workflow of learning systems.
Topics
- tensors and tensor operations
- gradient-based optimization
- feature engineering and learning
- and workflow of learning systems
Topics explicitly listed in official catalogue description
Prerequisites & course information
Exploration of the concepts, terminology, and processes for training and using deep neural networks for classification problems. Topics include tensors and tensor operations, gradient-based optimization, feature engineering and learning, and workflow of learning systems.
Sources
- Course catalogue ↗2026-2027