EdusalsaDiscover Your Stanford


Natural Language Processing with Deep Learning (CS 224N, LINGUIST 284)

  • Not Offered

3 - 4 units

Letter or Credit/No Credit

Methods for processing human language information and the underlying computational properties of natural languages. Focus on deep learning approaches: understanding, implementing, training, debugging, visualizing, and extending neural network models for a variety of language understanding tasks. Exploration of natural language tasks ranging from simple word level and syntactic processing to coreference, question answering, and machine translation. Examination of representative papers and systems and completion of a final project applying a complex neural network model to a large-scale NLP problem. Prerequisites: calculus and linear algebra; CS124, CS221, or CS229.

Course Prequisites

Sign Up

To save SYMSYS 195N to your course bucketlist

Already Have An Account? Log In