Natural Language Processing: NLP With Transformers in Python
Learn next-generation NLP with transformers for sentiment analysis, Q&A, similarity search, NER, and more
4.50 (2253 reviews)
29,453
students
11.5 hours
content
Aug 2022
last update
$79.99
regular price
What you will learn
Industry standard NLP using transformer models
Build full-stack question-answering transformer models
Perform sentiment analysis with transformers models in PyTorch and TensorFlow
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 ROUGE
Vector building techniques like BM25 or dense passage retrievers (DPR)
An overview of recent developments in NLP
Understand attention and other key components of transformers
Learn about key transformers models such as BERT
Preprocess text data for NLP
Named entity recognition (NER) using spaCy and transformers
Fine-tune language classification models
3754106
udemy ID
1/6/2021
course created date
6/5/2021
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