DNN

What Does DNN Mean?

DNN means "Deep Neural Network."

TL;DR

Deep Neural Networks (DNNs) are computer systems with many layers that help them learn and recognize complex patterns. They are used in tasks like understanding speech and images, and are a powerful tool in modern artificial intelligence (AI).

In Detail

Deep Neural Networks (DNNs) are are a type of Artificial Neural Network (ANN) with multiple layers between the input and output layers. These intermediate or "hidden" layers enable the network to learn complex patterns and represent intricate functions.

DNNs are used in various applications such as speech recognition, image classification, and natural language processing. The depth of the network allows for the extraction of hierarchical features, where initial layers learn simple patterns and subsequent layers build upon them to understand more complex structures.

Training DNNs requires significant computational resources and careful tuning, but their ability to model complexity makes them a powerful tool in modern AI.

Learn More

Check out our comprehensive glossary of AI terms.

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When I write DNN, I mean this:

meaning of DNN

"Deep Neural Network"

Summary of Key Points

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

5: Extremely difficult to guess

Typical Users:typical user
Specialists

Example of DNN Used in a Text

DNN
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