CS 6320 - Foundations of Deep Learning

Institution:

Utah Tech University

Subject:

Computer Science

Description:

This course introduces foundational methods for computer vision and natural language processing. Students will understand the primary problems in both fields, such as segmentation, and apply deep learning frameworks to address these challenges. *COURSE LEARNING OUTCOMES (CLOs)** At the successful conclusion of this course students will: 1. Construct convolutional neural network models for image classification. 2. Apply deep learning models for complex image tasks, including image segmentation. 3. Convert text to vectors, utilizing both word embedding and tokenizer frameworks. 4. Construct neural network models for natural language processing tasks such as semantic summarization, utilizing foundational models such as RNNs and LSTMs. 5. Fine tune and apply transformer models to advanced natural language processing tasks such as machine translation. Prerequisites: CS 6300 (Grade B- or higher); AND CS 6310 (Grade B- or higher). SP

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.utahtech.edu/

Phone Number:

(435) 652-7500

Regional Accreditation:

Northwest Commission on Colleges and Universities

Calendar System:

Semester

General Education

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