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Overview
Learn next-generation NLP with transformers for sentiment analysis, Q&A, similarity search, NER, and more What you'll learn: Industry standard NLP using transformer models Build full-stack question-answering transformer models Perform sentiment analysis with transformers models in Py Torch and Tensor Flow Advanced search technologies like Elasticsearch and Facebook AI Similarity Search (FAISS)Create fine-tuned transformers models for specialized use-cases Measure performance of language models using advanced metrics like ROUGEVector building techniques like BM25 or dense passage retrievers (DPR)An overview of recent developments...
Syllabus
- Introduction
- NLP and Transformers
- Preprocessing for NLP
- Attention
- Language Classification
- [Project] Sentiment Model With TensorFlow and Transformers
- Long Text Classification With BERT
- Named Entity Recognition (NER)
- Question and Answering
- Metrics For Language
Instructor
James Briggs
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