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Artificial Neural Networks (view source)
Revision as of 17:22, 7 December 2016
, 17:22, 7 December 2016no edit summary
'''Artificial Neural Networks''' or more commonly known as '''Artificial Intelligence''' have become the most prominent research topic in modern computer science. As we are entering the golden age of artificial intelligence, machine learning & deep learning are used daily by consumers for practical purposes
'''Artificial Neural Networks (ANN)''' (or more commonly known as '''Artificial Intelligence''') have become the most prominent research topic in modern computer science as we are entering the golden age of A.I., the use of machine learning and deep learning have become a common use for practical and intensive purposes.
== Artificial Neural Networks ==
== Artificial Neural Networks ==
'''Artificial Neural Networks''' are simple to complex series of data representation within a network that changes according the certain algorithms applied with the phases of the structure. The artificial neural network was initially inspired by biological neural networks and their functions of processing input and output data. Within A.I. the biological 'neurons' are represented as "nodes" within an A.I.
'''Artificial Neural Networks''' are simple to complex series of data representation within a network that changes according the certain algorithms applied with the phases of the structure. The artificial neural network was initially inspired by biological neural networks and their functions of processing input and output data. Within A.I. the biological 'neurons' are represented as '''nodes''' within an ANN which are systems of interconnected points exchanging messages between one another and have numeric weights/constraints applied to them that allow these neural nets to adapt/alter input data thus creating the Artificial Intelligence's ability to "learn".
which are systems of interconnected points exchanging messages between one another and have numeric weights/constraints applied to them that allow these neural nets to adapt/alter input data thus creating the Artificial Intelligence's ability to 'learn'.
These nodes within the network can be thought of as phases within a neural net where data can be processed, stored or gathered. Information can flow readily through out these nodes and can be modified by the algorithms the architect chooses to weigh on them.
There are a variety of algorithms available for use within neural networks and these can be interchangeably placed depending on the structure of the ANN and what the intended use/purpose is.
== Machine Learning Algorithms ==
== Machine Learning Algorithms ==