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CSE472 Units

Practice

DEEP LEARNING FOR NATURAL LANGUAGE PROCESSING

CSE472 3 Credits L:2 T:0 P:2 Speciality

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.

Study Units

Unit 1

Foundations of NLP and Text Processing

Notes MCQ Subjective
Unit 2

Word Embeddings and Vector Representations

Notes MCQ Subjective
Unit 3

Deep Learning Sequence Models for NLP

Notes MCQ Subjective
Unit 4

Sequence-to-Sequence Models and Attention Mechanisms

Notes MCQ Subjective
Unit 5

Transformers and Pretrained Language Models

Notes MCQ Subjective
Unit 6

Generative NLP and LLMs

Notes MCQ Subjective

Continuous Assessment

1 component

NA 0%

NA

Week NA

Exams & Practice

Mid Term Examination

Mid-semester comprehensive evaluation

20%
Coming Soon

End Term Examination

Final semester comprehensive evaluation

50%

Type: Examination

Coming Soon

CSE472 - FAQs

How many units are in CSE472?

CSE472 has 6 units. Each unit includes detailed notes and MCQ practice questions.

What exam resources are available for CSE472?

Unit-wise notes and MCQ practice are available. Exam resources coming soon.

How to prepare for CSE472 exams?

Study each unit's notes thoroughly, practice MCQs to test understanding, and attempt mock tests before exams. Focus on important topics and previous year questions.