Natural Language Processing Transformers with Hugging Face

Natural Language Processing – Transformers with Hugging Face
MP4 | Video: AVC 1280×720 | Audio: AAC 44KHz 2ch | Duration: 4 Hour | 908 MB

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.

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