Data Science: Transformers for Natural Language Processing
Data Science: Transformers for Natural Language Processing - ChatGPT, GPT-4, BERT, Deep Learning, Machine Learning, & NLP with Hugging Face, Attention in Python, Tensorflow, PyTorch
I found a course on Udemy called “Web Developer Bootcamp with Flask and Python in 2023” that might interest you. It is designed to help you become a Full Stack Web Developer using Flask, Python, HTML, CSS, and MongoDB! The course is fully updated for 2023 and beyond. It has a rating of 4.5 out of 5 from 6168 reviews
Tensorflow 2.0: Deep Learning and Artificial Intelligence
Machine Learning & Neural Networks for Computer Vision, Time Series Analysis, NLP, GANs, Reinforcement Learning, +More!
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
Neural Networks for Computer Vision, Time Series Forecasting, NLP, GANs, Reinforcement Learning, and More!
Preview this Course
Post a Comment for " Data Science: Transformers for Natural Language Processing"