Description
Natural Language Processing: NLP With Transformers in Python is a training course on natural language processing with transformers using PyTorch, TensorFlow, HuggingFace and other tools. Transformer models are a standard in modern natural language processing. In this course, you will build high efficiency 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 course:
- The industry standard for natural language processing using transformer models
- Building transformer models complete question-answer
- Performing sentiment analysis with transformer models using PyTorch and TensorFlow
- Advanced search technology such as Elasticsearch and Facebook Similarity Search Artificial Intelligence (FAISS)
- Measuring the efficiency of linguistic models using advanced criteria such as ROUGE
- vector construction technology such as BM25 or dense passage retrievers (DPR)
- An overview of recent advances in natural language processing
- Understanding attention and other key components of transformers
- Text data preprocessing for NLP
Course details
Publisher: Udemy
Instructors: James Briggs
English language
Training level: introductory to advanced
Number of courses: 104
Duration: 11 hours and 30 minutes
Course topics:
Course prerequisites:
Experience in data science a plus
Pictures
Sample video
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 1080p
Previous title:
Natural Language Processing With Transformers in Python
Changes:
The version of 2022/8 compared to 2021/6 has increased the number of 5 lessons and the duration of 6 minutes. Also, the course quality has been increased from 720p to 1080p.
download link
Password file(s): www.downloadly.ir
Size
3.79 GB
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