Udemy – Master Natural Language Processing with Transformers 2024-11

Udemy – Master Natural Language Processing with Transformers 2024-11 Downloadly IRSpace

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Apr 18, 2025 - 17:57 Updated: Apr 21, 2025 - 17:41
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Udemy – Master Natural Language Processing with Transformers 2024-11
Udemy – Master Natural Language Processing with Transformers 2024-11

Master Natural Language Processing with Transformers. This comprehensive course will help you understand and apply modern natural language processing (NLP) with a focus on transformer models. You will learn the basics of transformer models, from understanding the attention mechanism to using pre-trained models.

What you will learn in the course:

  • Comprehensive text preprocessing techniques with practical coding examples
  • Text representation methods include Bag of Words, TF-IDF, and Word2Vec
  • Deep understanding of transformer architecture and attention mechanisms
  • How to implement and use BERT for sentiment classification
  • How to build a text translation project using the T5 model
  • Hands-on experience with the Hugging Face ecosystem

This course is suitable for people who:

  • Students or professionals looking for a career in NLP or artificial intelligence.
  • NLP enthusiasts and researchers
  • Data scientists and machine learning experts
  • AI enthusiasts eager to learn about the Hugging Face ecosystem
  • Intermediate to advanced learners in NLP
  • Machine learning engineers interested in transformers and pre-trained models
  • Data scientists looking to expand their NLP knowledge

Course details: Master Natural Language Processing with Transformers

  • Publisher:  Udemy
  • Instructor:  Pooja Dhouchak
  • Training level: Beginner to advanced
  • Training duration: 5 hours and 6 minutes
  • Number of lessons: 36

Course headings

 Master Natural Language Processing with Transformers

Prerequisites for the Master Natural Language Processing with Transformers course

  • Strong knowledge of Python programming
  • Basic understanding of machine learning concepts, such as model training, evaluation, and supervised learning.
  • Familiarity with deep learning frameworks, especially PyTorch.

Course images

Master Natural Language Processing with Transformers

Sample course video

Installation Guide

After Extract, view with your favorite player.

Subtitles: None

Quality: 720p

Download link

Download Part 1 – 1 GB

Download Part 2 – 690 MB

File(s) password: www.downloadly.ir

File size

1.6 GB

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