Deep Learning
Teaching assistant for an undergraduate course covering core deep learning architectures and foundational methods.
Term: Spring
Location: University of California, San Diego
Role
Teaching Assistant, Spring 2026 (March – June).
What this covered
- Weekly office hours and grading for coursework on core architectures — multi-layer perceptrons, CNNs, and RNNs — and foundational methods including backpropagation and automatic differentiation.
- Designed homework on recurrent neural networks.
- Delivered lectures on convolutional neural network architecture to support undergraduate instruction in deep learning fundamentals.