<p>Lecture, four hours; discussion, two hours; outside study, six hours. Requisite: one course from course C124, 145, M146, M148, 161, 162, Electrical and Computer Engineering C147, or 149. Computer vision has been a core field of artificial intelligence, facilitating a wide range of applications from image search to self-driving. The progress of deep learning has greatly advanced the performance of visual tasks like visual recognition and image generation. Study of deep learning approaches for computer vision. Students learn to implement and tune the deep neural networks used in various computer vision, such as visual recognition and image generation. Covers learning algorithms, neural architecture design, and practical skills of training and debugging neural networks. Letter grading.</p>

Computer Science

Henry Samueli School of Engineering and Applied Science

Container 1

COM SCI 163 - Deep Learning for Computer Vision

Deep Learning for Computer Vision

Learning Objectives: 
-Students should understand the deep learning foundations such as back-propagation, convolutional neural networks, transformer models, and diffusion models. 

-Students should be able to train and debug deep neural networks for various computer vision tasks, including but not limited to image recognition, semantic segmentation, object detection, and image generation.  


Skills outcomes:
-Set up and run a deep neural network training pipeline.

-Debug and tune the deep neural network training to further improve the performance and generalizability.

-Apply deep neural networks for various computer vision tasks.


Knowledge outcomes:
-Understand the foundation of deep learning and the relevant algorithms to computer vision tasks.

-Be familiar with various deep neural networks such as convolutional neural networks, transformers, Generative Adversarial Networks (GANs), diffusion models. 

-Get to know how and which deep neural networks are used best for various computer vision tasks like image classification, video recognition, and image generation. 



General Catalog

Deep Learning for Computer Vision

COM SCI 163

4 units