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.
Overview
Syllabus
Introduction.
Sequence to Sequence Model.
Introduction to Transformers in NLP.
Text Summarization using PyTorch.
Introduction to BERT.
Use Case for BERT.
Summary.
Taught by
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