Deep Learning Exam Archive

Public exam archive for Introduction to Deep Learning at the University of Washington.

Offered as CSE 493G and CSE 599G. Taught by Ali Farhadi and Sarah Pratt.

Administered 5 quizzes.

Quiz 1 [pdf, solutions] – Image Classification with Linear Classifiers, Regularization and Optimization, Neural Networks and Backpropagation
Quiz 2 [pdf, solutions] – CNNs, Training Neural Networks, Visualizing and Understanding
Quiz 3 [pdf, solutions] – Vision and Language Tokenization, RNNs & LSTMs, Attention and Transformers, Modern Architectures
Quiz 4 [pdf, solutions] – Transfer Learning / Structured Prediction (Detection + Segmentation), Self-supervised Learning, Foundational Models (LMs + Multimodal)
Quiz 5 [pdf] – Autoregressive & VAEs, GANs, Diffusion (quiz only covers Part 1 of diffusion; Part 2 was taught on day of quiz)

Offered as CSE 493G and CSE 599G. Taught by Ranjay Krishna and Sarah Pratt.

Administered 5 quizzes.

Quiz 1 [pdf, solutions] – Image Classification with Linear Classifiers, Regularization and Optimization, Neural Networks and Backpropagation
Quiz 2 [pdf, solutions] – CNNs, Training Neural Networks, Visualizing and Understanding
Quiz 3 [pdf, solutions] – Introduction to Language, RNNs & LSTMs, Attention and Transformers, Modern Architectures
Quiz 4 [pdf, solutions] – Transfer Learning / Structured Prediction (Detection + Segmentation), Self-Supervised Learning, LLMs, Foundation Models
Quiz 5 [pdf] – Autoregressive & VAEs, Gans & Diffusion

Offered as CSE 493G and CSE 599G1. Taught by Ali Farhadi and Aditya Kusupati.

Administered 3 quizzes.

Offered as CSE 493G1 and CSE 599G1. Taught by Ranjay Krishna and Aditya Kusupati.

Administered 1 midterm.