RNN

What Does RNN Mean?

RNN means "Recurrent Neural Networks."

TL;DR

Recurrent Neural Networks (RNNs) are a type of artificial intelligence (AI) that can remember previous information in a sequence. This makes them useful for tasks like speech recognition and language modeling.

In Detail

RNNs are a class of artificial neural networks (ANN) designed for processing sequences of data.

Unlike traditional "feedforward" networks, RNNs have connections looping back within the network, allowing information to persist. This architecture enables them to remember previous inputs in the sequence, making them suitable for tasks like speech recognition, language modeling, and time-series prediction.

RNNs can be challenging to train, especially with long sequences, leading to problems like vanishing or exploding gradients. Variations like Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) networks have been developed to address these issues, making RNNs more effective and versatile.

Learn More

Check out our comprehensive glossary of AI terms.

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When I write RNN, I mean this:

meaning of RNN

"Recurrent Neural Networks"

Summary of Key Points

"Recurrent Neural Networks" is the most common definition for RNN on Snapchat, WhatsApp, Facebook, Twitter, Instagram, and TikTok.
RNN
Definition:Recurrent Neural Networks
Type:Abbreviation
Guessability:guessability level 5

5: Extremely difficult to guess

Typical Users:typical user
Specialists

Example of RNN Used in a Text

RNN
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See Also

AGI (artificial general intelligence) AI/MLAAS (artificial intelligence/machine learning as a service) AUTOML (automated machine learning) CNN (convolutional neural networks) DL (deep learning) DNN (deep neural network) GAN (generative adversarial network) IOT (internet of things) ML (machine learning) NARROW AI (limited systems designed to perform specific tasks) NLP (natural language processing) RL (reinforcement learning) SUPERINTELLIGENT AI (AI systems that surpass human intelligence in practically every field) WEAK AI (limited AI systems designed to perform specific tasks)

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