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It's Your Data, Master It.
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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