Examples of using Artificial neural network in English and their translations into Hungarian
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The Artificial Neural Network.
The model is based on an artificial neural network(ANN).
Artificial neural networks.
My system is based on artificial neural network(ANN).
Artificial Neural Networks(ANN).
How do human brains and artificial neural networks differ?
Apply Artificial Neural Networks in your real world situation.
By stringing chips together researchers can build an artificial neural network.
Artificial neural networks have been applied in all areas of operations.
The characteristic feature is the AI technology(especially artificial neural network).
I will show you an artificial neural network that we have built recently, doing exactly that.
Deep Learning as a subfield of machine learning- Artificial Neural Networks(ANN) algorithms.
István Oniga Artificial neural networks hardware implementation using reconfigurable devices.
The Terminator CPU is a room-temperature superconducting artificial neural network with the ability to learn.
We create artificial neural network for self-study and the search for the best interlocutors.
In 2016,Google launched a neural machine translation tool that uses an artificial neural network that can undertake multilingual translations by decoding semantic text.
Artificial Neural Networks(ANN) are the pieces of a computing system designed to simulate the way the human brain analyzes and processes information.
With the understanding of the functioning of the human brain, artificial neural networks will also be possible to create, which will mean a new breakthrough in machine learning.
Artificial Neural Network is a computational data model used in the development of Artificial Intelligence(AI) systems capable of performing"intelligent" tasks.
The first piece of this series was a computer installation with a video projection. An artificial neural network was capable of distinguishing between vertical and horizontal lines in the live picture of a video camera.
Learn about artificial neural networks and how they're being used for machine learning, as applied to speech and object recognition, image segmentation, modeling language and human.
In fact, the activity across the brains of all these people wasso correlated that we're able to train an artificial neural network to predict whether or not people are experiencing awe to an accuracy of 75 percent on average, with a maximum of 83 percent.
Lavric, Vasile(2012): Artificial Neural Network Modelling of Ultrasound and Microwave Extraction of Bioactive Constituents from Medicinal Plants. Revista Chimica 63/7, 2012. 743-748.
The features in Banerji and colleagues' machine learning model were more complex than those in my toy example- for example, she used features like“de Vaucouleurs fit axialratio”- and her model was not logistic regression, it was an artificial neural network.
The system is based on artificial neural network, so it requires a computer and I don't think you will be able to use it there.
Scientists have developed an artificial neural network out of DNA that can recognise highly complex and noisy molecular information.”.
Lavric, Vasile(2012): Artificial Neural Network Modelling of Ultrasound and Microwave Extraction of Bioactive Constituents from Medicinal Plants.
Researchers at Caltech have developed an artificial neural network made out of DNA that can solve a classic machine learning problem: correctly identifying handwritten numbers.
CA- A team of researchers have developed an artificial neural network made out of DNA that is capable of solving a classic machine learning problem: correctly identifying handwritten numbers.