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1
Introduction
2
Sequence to Sequence Model
3
Introduction to Transformers in NLP
4
Text Summarization using PyTorch
5
Introduction to BERT
6
Use Case for BERT
7
Summary
Description:
Dive into the world of advanced natural language processing with this comprehensive tutorial on NLP with BERT. Explore the revolutionary impact of transformers and BERT on state-of-the-art NLP techniques. Learn about sequence-to-sequence models, the architecture of transformers, and their applications in machine translation and next sentence prediction. Gain hands-on experience with text summarization using PyTorch, and discover the inner workings of BERT, including its use cases and practical applications. Master the fundamentals of these cutting-edge technologies through a well-structured curriculum covering key topics such as transformer architecture, BERT's functionality, and real-world implementations in NLP tasks.

NLP with BERT

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