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Natural Language Processing with PyTorch

Overview

Skills Needed

Learn to process and analyze natural language data using PyTorch. Explore techniques for text classification, sentiment analysis, named entity recognition, and building language models with PyTorch.

  • Basic knowledge of PyTorch fundamentals
  • Understanding of natural language processing concepts

Outline

  • Introduction to Natural Language Processing
  • Text Preprocessing and Tokenization
  • Text Classification Techniques
  • Sentiment Analysis with PyTorch
  • Named Entity Recognition (NER)
  • Language Modeling with Recurrent Networks
  • Sequence-to-Sequence Models for NLP
  • Attention Mechanisms in NLP
  • Transfer Learning for NLP Tasks
  • Case Studies in Natural Language Processing with PyTorch

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