![]() ![]() These neurons have the capabilities to learn, generalize the training data and derive results from complicated data. ANN can model as the original neurons of the human brain, hence ANN processing parts are called Artificial Neurons.ĪNN consist of a large number of interconnected neurons that are inspired by the working of a brain. Similar to this, an Artificial Neural Network (ANN) is a computational network in science that resembles the characteristics of a human brain. The human brain comprises of neurons that send information to various parts of the body in response to an action performed. A biological neural network is a structure of billions of interconnected neurons in a human brain. What Is An Artificial Neural Network?ĪNN is a non-linear model that is widely used in Machine Learning and has a promising future in the field of Artificial Intelligence.Īrtificial Neural Network is analogous to a biological neural network. It is a subfield of Artificial Intelligence. Machine Learning is a field of science that allow computers the capability to learn and act without being programmed explicitly. Comparison Between Machine Learning And ANN.Comparison Of Biological Neuron And Artificial Neuron.Structure Of A Biological Neural Network. ![]()
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