Natural Language Processing with Deep Learning
Investigate the fundamental concepts and ideas in natural language processing (NLP), and get up to speed with current research. Students will develop an in-depth understanding of both the algorithms available for processing linguistic information and the underlying computational properties of natural languages. The focus is on deep learning approaches: implementing, training, debugging, and extending neural network models for a variety of language understanding tasks. The course progresses from word-level and syntactic processing to question answering and machine translation. For their final project students will apply a complex neural network model to a large-scale NLP problem.
This course is now full. Please enroll in the wait list section. In the case that a spot becomes available, Student Services will contact you. Make sure you have submitted your NDO application and required documents to be considered.
- Calculus and linear algebra
- CS124, or CS121/CS221
- Computational properties of natural languages
- Coreference, question answering, and machine translation
- Processing linguistic information
- Syntactic and semantic processing
- Modern quantitative techniques in NLP
- Neural network models for language understanding tasks
Note on Course Availability
This course is typically offered Winter quarter.
The course schedule is displayed for planning purposes – courses can be modified, changed, or cancelled. Course availability will be considered finalized on the first day of open enrollment. For quarterly enrollment dates, please refer to our graduate certificate homepage.
|Dates:||January 6 - March 13, 2020|
This does not enroll you in the course and only adds you to the waitlist for the course. If a space becomes available we will reach out to contact you on how to proceed with enrollment.
NotesEnrollment Dates: October 27 to December 9, 2019
Computer Science Department Requirement
Students taking graduate courses in Computer Science must enroll for the maximum number of units and maintain a B or better in each course in order to continue taking courses under the Non Degree Option.
This course may not currently be available to learners in some states and territories.