Udemy – Natural Language Processing: NLP With Transformers in Python 2022-8

Natural Language Processing: NLP With Transformers in Python is a course on learning natural language processing with transformers using the tools of PyTorch, TensorFlow, HuggingFace and more. Transformer models are a standard in modern natural language processing. In this course, you will build high-performance natural language processing programs using transformer 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:

• Industrial standard for natural language processing using Transformer models
• Build complete question-answer transformer models
• Perform emotion analysis with transformer models using PyTorch and TensorFlow
• Advanced search technology such as Elasticsearch and Facebook Match Search Artificial Intelligence (FAISS)
• Measuring the effectiveness of language models using advanced metrics such as ROUGE
• Vector manufacturing technology such as BM25 or dense passage retrievers (DPR)
• An overview of recent advances in natural language processing
• Understand the attention and other key components of transformers
• Text data preprocessing for NLP

Course specifications

Publisher: Udemy
Instructors: James Briggs
Language: English
Level: Advanced to Advanced
Number of Courses: 104
Duration: 11 hours and 30 minutes

Course topics:

Course prerequisites:

Pictures

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Subtitle: English

Quality: 1080p

Previous title:

Natural language processing with transformers in Python

Changes:

Version 2022/8 compared to 2021/6 has increased the number of 5 lessons and the duration of 6 minutes. Also, the Quality of the course has increased from 720p to 1080p.

Download link

Download Part 1 – 1 GB

Download Part 2 – 1 GB

Download Part 3 – 1 GB

Download Part 4 – 798 MB

Size

3.79 GB