Deep Learning and its Importance for Early Signature of Neuronal Disorders

Deep learning is a nomenclature given to a recently developed domain of pattern recognition. It has potency to influence the development of artificial intelligence research. The concept of deep learning has been originated from the capability of making educated decisions/guesses regarding a topic/situation in spite of having no prior experience. From mathematical perspective, deep learning allows the extraction of features from a given set of data which allows much more capable and accurate training for a certain technique. With the advent of more powerful mathematical techniques deep learning is seen as an effective method to enhance the capabilities of presently developed algorithms without needlessly complicating their mode of operation. This paper presents importance of deep learning to detect neural disorder.