CSE472Semester 6 • 3 CreditsSpecialization SubjectsComing Soon

Deep Learning For Natural Language Processing

This course covers the foundations of Natural Language Processing and advanced deep learning techniques, including word embeddings, sequence models, and transformer architectures. Students learn to apply these models to real-world tasks such as sentiment classification, translation, and text generation.

6 Units • Notes • Model Answers • MCQs
Course In Preparation: The unit notes, subjective model answers, and practice MCQs for CSE472 (Deep Learning For Natural Language Processing) are currently in production and will appear here as soon as they are published.
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Active: Unit 1
Unit 1:Unit 1: Foundations of NLP and Text Processing
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Unit 1 Notes in Preparation

High-yield concept notes and core revision summaries for Unit 1: Foundations of NLP and Text Processing are currently being rewritten and audited for academic excellence.

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Unit 10 Sections
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