NLP with Transformers in Python 2022-8 – Download

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Natural Language Processing: NLP with Transformers in Python is the process of learning natural language processing using transformers using tools such as PyTorch, TensorFlow, HuggingFace, etc. Transformer models are the standard for modern natural language processing. In this course, you will build high-performance natural language processing programs using translator models such as Google Artificial Intelligence (BERT) or Facebook Artificial Intelligence (DPR).

What you will learn in Natural Language Processing: NLP with Transformers in Python:

Industry standard for natural language processing using Transformer models
Building a complete question-answer translator model
Perform sentiment analysis with transducer models using PyTorch and TensorFlow
Advanced search technologies such as Elasticsearch and Facebook Match Search Artificial Intelligence (FAISS)
Measure the effectiveness of your language model using advanced metrics like ROUGE
Vector manufacturing technologies such as BM25 or Dense Passage Retrievers (DPR)
Overview of recent advances in natural language processing
Understand the precautions and other key components of transformers.
Text data preprocessing for NLP

Course specifications

publisher: Udemy
Instructor: James Briggs
Language: English
Level: Advanced – Advanced
Number of courses: 104
Duration: 11 hours 30 minutes

Course Topics:

Natural Language Processing: NLP with Transformers in Python

Course Prerequisites:

Data science experience preferred

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Natural Language Processing: NLP with Transformers in Python

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Subtitles: English

Quality: 1080p

Previous title:

Natural language processing using converters in Python

Changes:

The 2022/8 version has increased the number of lessons to 5 and the lesson time to 6 minutes compared to the 2021/6 version. Additionally, course quality has been improved from 720p to 1080p.