What is a Neural Network?
An Artificial Neural Network (ANN) is a data handling worldview that is motivated by the way organic sensory systems, for example, the cerebrum, prepare data. The key component of this worldview is the novel structure of the data handling framework. It is made out of an extensive number of very interconnected preparing components (neurones) working as one to take care of particular issues. ANNs, similar to individuals, learn by case. An ANN is designed for a particular application, for example, design acknowledgment or information order, through a learning procedure. Learning in organic frameworks includes changes in accordance with the synaptic associations that exist between the neurones. This is valid for ANNs too.
An Artificial Neural Network (ANN) is a data handling worldview that is motivated by the way organic sensory systems, for example, the cerebrum, prepare data. The key component of this worldview is the novel structure of the data handling framework. It is made out of an extensive number of very interconnected preparing components (neurones) working as one to take care of particular issues. ANNs, similar to individuals, learn by case. An ANN is designed for a particular application, for example, design acknowledgment or information order, through a learning procedure. Learning in organic frameworks includes changes in accordance with the synaptic associations that exist between the neurones. This is valid for ANNs too.
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