Data Science: Transformers for Natural Language Processing
ChatGPT, GPT-4, BERT, Deep Learning, Machine Learning & NLP with Hugging Face, Attention in Python, Tensorflow, PyTorch
4.80 (2731 reviews)
8,429
students
18.5 hours
content
Mar 2025
last update
$74.99
regular price
What you will 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
Understand important foundations for OpenAI ChatGPT, GPT-4, DALL-E, Midjourney, and Stable Diffusion
Screenshots
4624834
udemy ID
4/2/2022
course created date
5/25/2022
course indexed date
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