Transformers: From Theory to Practice
A comprehensive course covering transformers from fundamental concepts to practical implementation. Learn self-attention, build models from scratch, fine-tune pre-trained models, and deploy transformer applications using PyTorch and Hugging Face.
- Level: intermediate
- Duration: 10-12 weeks
- 6 sections
- Price: $20
Topics: Transformers, Attention Mechanism, PyTorch, Hugging Face, Fine-tuning, NLP, Deep Learning, Self-Attention, Multi-Head Attention, BERT, GPT, Deployment, PEFT, LoRA
What's inside
- Transformers: From Theory to Practice
- Module 1: Introduction to Transformers and Setup
- Module 2: Using Pre-trained Models with Hugging Face
- Module 3: Fine-tuning Models
- Module 4: Building Transformer Models from Scratch
- Module 5: Deployment and Advanced Topics