11 Facts About Neural networks

Neural networks network is a network or circuit of biological neurons, or, in a modern sense, an artificial neural network, composed of artificial neurons or nodes.

Artificial intelligence, cognitive modelling, and neural networks are information processing paradigms inspired by how biological neural systems process data.

Preliminary theoretical base for contemporary neural networks was independently proposed by Alexander Bain and William James .

Neural networks ran electrical currents down the spinal cords of rats.

The first issue was that single-layer neural networks were incapable of processing the exclusive-or circuit.

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Neural networks, as used in artificial intelligence, have traditionally been viewed as simplified models of neural processing in the brain, even though the relation between this model and brain biological architecture is debated, as it is not clear to what degree artificial neural networks mirror brain function.

Neural networks network, in the case of artificial neurons called artificial neural network or simulated neural network, is an interconnected group of natural or artificial neurons that uses a mathematical or computational model for information processing based on a connectionistic approach to computation.

In more practical terms neural networks are non-linear statistical data modeling or decision making tools.

The tasks to which artificial neural networks are applied tend to fall within the following broad categories:.

Furthermore, researchers involved in exploring learning algorithms for neural networks are gradually uncovering generic principles that allow a learning machine to be successful.

Such neural networks were the first artificial pattern recognizers to achieve human-competitive or even superhuman performance on benchmarks such as traffic sign recognition, or the MNIST handwritten digits problem of Yann LeCun and colleagues at NYU.