Sequence-to-Sequence Models — Roadmap Step & Resources
Encoder-decoder architectures for tasks like translation where input and output lengths differ
- Level: advanced
- Estimated time: 2 days
- Roadmap: Deep Learning & Neural Networks
Before this step
Mini projects
- Build a simple sequence-to-sequence model for a toy translation or date-format task
Study resources
- NLP From Scratch: Translation with a Sequence to Sequence Network (Article) — The official PyTorch tutorial building a seq2seq translation model from scratch.
- Sequence to Sequence Models Explained (Video) — A practical explanation of the encoder-decoder architecture for seq2seq tasks.
Part of
- Recurrent Neural Networks & Sequence Models — section
- Deep Learning & Neural Networks roadmap — the full learning path