Course name: Data Science: Transformers for Natural Language Processing

What you’ll learn

• Apply transformers to real-world tasks with just a few lines of code

• Fine-tune transformers on your own datasets with transfer learning

• Sentiment analysis, spam detection, text classification

• NER (named entity recognition), parts-of-speech tagging

• Build your own article spinner for SEO

• Generate believable human-like text

• Neural machine translation and text summarization

• Question-answering (e.g. SQuAD)

• Zero-shot classification

• Understand self-attention and in-depth theory behind transformers

• Implement transformers from scratch

• Use transformers with both Tensorflow and PyTorch

• Understand BERT, GPT, GPT-2, and GPT-3, and where to apply them

• Understand encoder, decoder, and seq2seq architectures

• Master the Hugging Face Python library

link: https://www.udemy.com/course/data-science-transformers-nlp/

Download link - https://hacksnation.com/d/16335-data-science-transformers-for-natural-language-processing/3