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Natural Language Processing - Transformers with Hugging Face [Video]
Natural Language Processing - Transformers with Hugging Face [Video]

Natural Language Processing - Transformers with Hugging Face: Harnessing the Power of Transformers for NLP with Hugging Face [Video]

By Lazy Programmer
$109.99
Video Jun 2024 3 hours 53 minutes 1st Edition
Video
$109.99
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Video
$109.99
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$15.99 Monthly

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Key benefits

  • Comprehensive overview of Transformers and attention mechanisms
  • Detailed coverage of various NLP tasks such as sentiment analysis, text generation, and text summarization
  • Beginner-friendly introduction and advanced techniques for experienced professionals

Description

This course begins with a warm welcome and an overview of the curriculum, setting the stage for an exciting journey into the world of Natural Language Processing (NLP). The initial section ensures you are well-prepared, guiding you on how to access the necessary code and providing tips for succeeding in the course. We delve deep into the realm of Transformers, starting from the basics of Recurrent Neural Networks (RNNs) and advancing to the attention mechanisms that power modern NLP models. The course covers a wide range of practical applications, including sentiment analysis, text generation, embeddings, semantic search, and named entity recognition. Each concept is paired with hands-on Python tutorials, enabling you to implement these techniques in real-world scenarios. By the end of this course, you will have a solid understanding of various NLP tasks and how to approach them using Hugging Face's powerful library. Whether you are analyzing sentiment, summarizing text, or translating languages, this course equips you with the skills to tackle these challenges efficiently. The comprehensive coverage ensures you gain both theoretical knowledge and practical experience, making you proficient in applying Transformers to solve complex NLP problems.

What you will learn

Understand the principles of RNNs and Attention mechanisms Implement sentiment analysis and text generation in Python Apply embeddings and semantic search techniques Develop masked language models and NER systems Create text summarization and neural machine translation models Utilize zero-shot classification for advanced NLP tasks

Product Details

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Publication date : Jun 21, 2024
Length 3 hours 53 minutes
Edition : 1st Edition
Language : English
ISBN-13 : 9781836200673
Category :
Languages :
Concepts :
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What do you get with a video?

Product feature icon Download this video in MP4 format
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
Buy Now

Product Details


Publication date : Jun 21, 2024
Length 3 hours 53 minutes
Edition : 1st Edition
Language : English
ISBN-13 : 9781836200673
Category :
Languages :
Concepts :
Tools :

Table of Contents

3 Chapters
1. Welcome Chevron down icon Chevron up icon
2. Getting Set Up Chevron down icon Chevron up icon
3. Transformers with Hugging Face Chevron down icon Chevron up icon

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