Deep Belief Network(DBN) is a network architecture in machine learning. There were many shallow architectures which had an upper hand in Artificial intelligence. These shallow nueral networks architectures were not that much efficient in computational,statistical or human involvent needed to train the net. Still they enjoyed privilage over deep nets because of difficuty in training deep belief nets. The brake-through occured in 2006 when Hinton and his team developed a new deep learning layer wise greedy algorithm to train deep belief nets. Now they are of prime importance in the field of machine learning.
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