Sequence-to-Sequence Models
Neural network models that transform an input sequence into an output sequence.
Description
Sequence-to-Sequence (Seq2Seq) models are a class of neural network models designed to transform an input sequence into an output sequence. They typically consist of an encoder that processes the input sequence and a decoder that generates the output sequence. Seq2Seq models have been particularly successful in tasks where both input and output are sequences of variable length, such as machine translation or text summarization.
Examples
- 🌐 Machine translation
- 📝 Text summarization
- 🗣️ Speech-to-text conversion
Applications
Related Terms
Featured
CoSupport AI
AI-powered platform for automating customer support
AI Influencer Generator
Sceneform.ai is an AI platform for creating realistic virtual influencers, UGC ads, talking avatars, and short-form social videos at scale.
Wondershare Repairit
AI-powered data repair for videos, photos, audio, and files in minutes.
Wondershare Recoverit AI Data Recovery
AI recovery, AI data recovery, AI video recovery, AI video repair, AI photo recovery, AI photo repair
Zawa
AI Branding Design Agent
RemoveSynthID
Reduce invisible SynthID signals while keeping images clear and private.
Lium
AI for Complex Data
Lyro
AI support that feels human
Wondershare Filmora
Edit as an Expert with Filmora AI
