deep neural network

USAGE SUMMARY

"deep neural network" is a correct and usable phrase in written English.
You can use it to refer to a type of artificial intelligence that can learn and make decisions based on data, usually in the context of machine learning. For example, "The researchers trained a deep neural network on a large set of data to identify objects in images."

✓ Grammatically correct

Science

News & Media

Academia

Human-verified examples from authoritative sources

Exact Expressions

58 human-written examples

A deep neural network copies this arrangement.

The Economist

A deep neural network processes images more like you do.

The Guardian

In this work, we propose a novel deep neural network referred to as Multi-Target Deep Neural Network (MT-DNN).

Neurocomputing

These results demonstrate that deep neural network decoders can advance the clinical translation of BCI technology.

Nature

The tool they had developed was basically an ingenious way of testing a deep neural network.

The New York Times - Magazine

A deep neural network has learned to transfer artistic styles to other images.

MIT Technology Review

Lindsey, R., et al. Deep neural network improves fracture detection by clinicians.

Nature

Neuroscientists train a deep neural network to analyze speech and music.

Massachusetts Institute of Technology

This work bridge deep neural network design with numerical differential equations.

Stanford University

Human-verified similar examples from authoritative sources

Similar Expressions

2 human-written examples

SS refers to spectral subtraction, while DNN stands for deep neural network-based speech coefficient mapping.

EURASIP Journal on Advances in Signal Processing

Fig. 1 System architecture for deep neural network-based time-frequency masking for stereo source separation.

EURASIP Journal on Audio, Speech, and Music Processing

Expert writing Tips

Best practice

When writing about "deep neural networks", specify the type of network (e.g., convolutional, recurrent) if relevant to your discussion.

Common error

Avoid assuming that all neural networks are "deep neural networks". The 'deep' descriptor specifically refers to networks with multiple hidden layers.

Linguistic Context

The phrase "deep neural network" functions primarily as a noun phrase, often serving as the subject or object within a sentence. As Ludwig AI suggests, it refers to a specific type of artificial intelligence. Examples show its use in describing models and systems.

Expression frequency: Very common

Frequent in

Science

42%

News & Media

38%

Academia

20%

Less common in

Formal & Business

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, "deep neural network" is a frequently used noun phrase, particularly within scientific, news, and academic contexts. Ludwig AI affirms its grammatical correctness, and analysis reveals its purpose in describing complex AI architectures. When using this phrase, be aware of its technical implications and consider specifying the type of network if relevant. Avoid assuming that all networks are deep. The phrase's prevalence in reputable sources like Nature, MIT Technology Review, and TechCrunch underscores its established role in contemporary discussions about artificial intelligence and machine learning.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

convolutional neural network

Focuses on a specific type of deep neural network often used in image recognition.

recurrent neural network

Highlights a deep neural network architecture designed for sequential data.

artificial neural network

Broader term encompassing various neural network architectures, including deep ones.

deep learning model

Emphasizes the model aspect, referring to the computational implementation of deep learning techniques.

neural network architecture

Focuses on the structural design of the neural network, which can be deep or shallow.

machine learning algorithm

Points to a general algorithm that facilitates the possibility to create and implement deep neural networks.

deep learning system

Highlights the overall system implementing deep learning, of which the neural network is a key component.

multilayer perceptron

Is another name for an artificial neural network but usually more used to describe shallow ones.

neural net

Short form for neural network with emphasis on connections of neurons.

AI model

Focuses on the general artificial intelligence.

FAQs

How can I use "deep neural network" in a sentence?

You can use "deep neural network" to describe a complex machine learning model, as in, "The researchers used a "deep neural network" to analyze the image data."

What's the difference between a neural network and a "deep neural network"?

A neural network is a general term, while a "deep neural network" specifies a neural network with multiple hidden layers. Depth allows it to learn more complex patterns.

Are "deep neural networks" always the best choice for machine learning tasks?

No, "deep neural networks" are not always the best choice. Simpler models may be more appropriate depending on the complexity and size of the data.

What are some applications of "deep neural networks"?

"Deep neural networks" are used in various applications, including image recognition, natural language processing, and speech recognition. All those systems are examples of "artificial intelligence".