What you would learn in Natural Language Processing: NLP With Transformers in Python course?
Transformer models dominate modern NLP. They are the best-known and most influential models of language, surpassing all other language-based benchmarks.
This course will teach you how to build cutting-edge performance NLP apps using transformer models such as Google AI's BERT or Facebook AI’s PR.
Learn how to apply transformers in some of the most common NLP use cases:
Language classification/sentiment analysis
Named entity recognition
Question and Answer
We use various examples throughout each of these use cases to show why, what, and how essential transformers are. Two large NLP projects supplement these sections. One is for sentiment analysis of financial Reddit information, and the other covers a full-fledged open-domain question-answering app.
This is all supported by several sections that help us learn how to design, implement, measure, and improve the performance of our models.
History of NLP and where did the transformers originate
Preprocessing techniques that are common for NLP
The theory behind transformers
How to fine-tune transformers
NLP industry standard using transformer models
Model full-stack question answering transformers
Conduct sentiment analysis using transformers models in TensorFlow and PyTorch
Advanced search technologies such as Elasticsearch or Facebook AI Similarity Search (FAISS) are available.
For specialized uses, create fine-tuned transformers model
Advanced metrics such as ROUGE can be used to measure the performance of language models.
Vector building techniques such as BM25 and dense passage retrievers (DPR) are available.
A review of the most recent developments in NLP
Learn how to pay attention and what other components are essential for transformers
Learn more about BERT, a critical transformer model.
NLP Preprocess Text Data
SpaCy and Transformers are used to recognize named entities (NER).
Models of fine-tuned language classification
Download Natural Language Processing: NLP With Transformers in Python from below links NOW!
Write your comment!
Access Permission Error
You do not have access to this product!
Dear User! To download this file(s) you need to purchase this product or subscribe to one of our VIP plans.