Analysing Deep Learning as A Machine Learning Algorithm
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 6
Abstract
Deep Learning (DL) is one of the most frequently used machine learning algorithms today and it has been the part of the research field for quite a long time. Still, it has a lot to contribute. Deep learning is an improvised version of simple neural network learning in the sense that there could be two distinct neuron sets in a simple neural network. Deep learning is beneficial in making the usage of the multiple processing layers to provide best results in areas like image processing, speech recognition, object identification, etc. The research in the deep learning field is an attempt to provide means to create models for doing fantastic representations and learning the same from large scale data of unlabeled nature. Some of the representations obtained through the models devised under deep learning are influenced from the advancements made in the field of neuroscience that is loosely associated with the information processing interpretation and communication patterns that are discussed i the nervous system, especially neural coding. This paper is an attempt to put light on deep learning concept and its scope in the research area.
Authors and Affiliations
Manish Kumar Singh, Prof. G S Baluja, Dr. Dinesh Prasad Sahu
Keywords
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