Examples of 'neural network' in a sentence
Meaning of "neural network"
A neural network is a computational model inspired by the structure and function of the human brain. It is composed of interconnected nodes, or artificial neurons, that work together to process and analyze complex information
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- A real or virtual computer system designed to emulate the brain in its ability to "learn" to assess imprecise data.
- Any network of neurons etc., that function together to achieve a common purpose.
How to use "neural network" in a sentence
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neural network
We could disable their neural network at a stroke.
The neural network is now updated continually.
I finally got the neural network online.
My neural network is part of the building itself.
Integration of cellular neural network onto silicon.
This neural network could be collecting information.
The result of the neural network as a whole.
Neural network simulations appear to be a recent development.
This is what a neural network looks like.
Neural network based facial image representations.
Reinitializes the neural network to an untrained state.
Neural network architecture for this model.
This kind of neural network differs from.
Neural network training is a computationally expensive task.
Everyone who was connected to the neural network.
See also
Google uses a neural network to translate sentences.
I connected myself into the neural network.
An artificial neural network is a network of artificial neurons.
Analysis of acoustic signals with neural network.
By your neural network into random images.
Emotions are processed in a complex neural network.
The neural network performance is examined in details.
It is effected in a manner known for a neural network.
A neural network is composed of a set of formal neurones.
It is the basic brick to build a neural network.
Then neural network makes the rest.
This helped us to define our neural network.
A neural network is composed of a set of formal neurons.
Neurons and synapses form a neural network.
This neural network has three layers.
Further processing may be performed in a neural network.
Training a neural network to detect objects in images.
Training is an essential feature of the neural network.
Some neural network applications are commercially significant.
Solving differential equations with a neural network.
A convolutional neural network is also known as a ConvNet.
Said analysis means comprises a neural network.
Its neural network needs to be trained to recognize images.
The feedback is read by the neural network.
This means the neural network is storing information.
A chatbot built with an artificial neural network.
Artificial neural network is an alternative to the task of identification.
Criteria are helpful to train neural network on classical tasks.
Its neural network needs to be trained.
Lastknight McFerrin network neural network scale pentatonale.
My neural network sample patterns that not reconosco.
We are going to create a neural network with a single hidden layer.
A neural network contains one or more hidden layers.
We detail then a neural network architecture.
The neural network develops slowly and is defective.
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Examples of using Neural
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Now the neural circuits will connect
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The neural cortex looks like icing
