Recurrent Neural Networks
A class of neural networks where connections between nodes form a directed graph along a temporal sequence.
Description
Recurrent Neural Networks (RNNs) are a class of artificial neural networks where connections between nodes form a directed graph along a temporal sequence. This allows them to exhibit temporal dynamic behavior. Unlike feedforward neural networks, RNNs can use their internal state (memory) to process sequences of inputs, making them applicable to tasks such as speech recognition and language translation.
Examples
- 🌐 Language translation
- 🗣️ Speech recognition
- 📈 Time series prediction
Applications
Related Terms
Featured
Google Nano Banana
Fast multimodal Gemini model for production
Higgsfield AI
Cinematic AI video generator with pro VFX control
Wan AI
Generate cinematic videos from text, image, and speech
Neurona AI Image Creator
AI image generator; AI art generator; face swap AI
ChatGPT Atlas
The browser with ChatGPT built in
Tidio
Smart, human-like support powered by AI — available 24/7.
Kimi AI
Kimi AI - K2 chatbot for long-context coding and research
Animon AI
Create anime videos for free
Abacus AI
The World's First Super Assistant for Professionals and Enterprises
Blackbox AI
Accelerate development with Blackbox AI's multi-model platform
Sora 2
Transform Ideas into Stunning Videos with Sora 2
