Red Teaming
Deep Learning
Neural networks designed to work with sequential data by maintaining an internal state or memory
Detailed Explanation
Recurrent Neural Networks (RNNs) are a type of deep learning model specialized for sequential data, such as language or time series. They maintain an internal state or memory that captures information from previous inputs, allowing them to learn patterns and dependencies over sequences. RNNs are widely used in tasks like language modeling, translation, and speech recognition.
Use Cases
- •Use case: Predicting next-word sequences in language modeling for chatbots and virtual assistants.
Related Terms
Other terms in the Deep Learning category