neural network
2
4.8
- noun
- /ˈnʊrəl ˈnɛtˌwɜrk/
- Specialized
:
red neuronal
- In 2015-16, the researchers at Google DeepMind developed AlphaGo, which combined deep neural network methods with Monte Carlo tree search.
- artificial neural network
- use neural networks
- neural network software
Do you think it's possible for neural networks to reason?
- Do you think it's possible for neural networks to reason?
- And then they trained A neural network from from a group of many, many pictures.
- There's probably, there are probably more neural networks that are connecting.
- Yeah, that's, that's what the neural network people would say.
- I do not understand how we scale a neural network, unless you're saying that each.
- And that's where the neural network comes in.
Examples
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And the most important advantage of artificial neural networks is that they can learn from data.
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Brain-like intelligent systems use neural networks to augment human intelligence and improve decision-making.
Academic text (1999) -
Do you think it's possible for neural networks to reason?
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And then I got into the area of neural networks, also known as deep learning these days.
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In all of these cases, the advances are due to improvements in deep neural networks for machine learning.
Academic text (2017) -
We have deep neural networks for visual and auditory perception.
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The neural network learns by strengthening or weakening interconnections among various silicon neurons or simulations.
Academic text (1996) -
Many modern applications use neural networks to improve the accuracy of speech recognition systems.
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Researchers are developing new algorithms that enhance the learning capabilities of neural networks in various fields.
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In medical imaging, neural networks help in detecting abnormalities by analyzing complex patterns in the data.
Synonyms
1
6.2
A computer program of connected parts that learns from examples to make guesses
How Autonomous
- Specialized
3
6.3
- Specialized
4
4.7
- Specialized
2
4.8
1
4.2
- Specialized
28
3.4
Surface Forms
Morphology
The phrase is directly compositional: 'neural' (relating to nerves/neurons) combined with 'network' (an arrangement of interconnected units) yields the idea of a network made of neuronal elements or neuron-like units. This makes the intended meaning — a system of interconnected units inspired by biological neurons, often in computing — derivable for learners who know both constituents and cross-linguistically similar constructions.
Etymology
Neural network for computers gets its name from the brain: the word neural refers to nerve cells and network means a web of links. Engineers built many small units like 'neurons' that connect to pass signals and change links to 'learn', so the name now describes computer systems that can 'learn' and find patterns.