A Survey on a New Area of Machine Learning Research: Deep Learning |
Author(s): |
| Aagna Nileshbhai Katrodia , Dayananda Sagar College of Engineering; Dr. S. Venkatesan, Dayananda Sagar College of Engineering; Anil Sagar T, Dayananda Sagar College of Engineering |
Keywords: |
| Machine Learning, Neural Networks, Convolutional Neural Networks, Restricted Boltzman Machines, Deep Belief Networks |
Abstract |
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The objective of this research paper is to present an overview of the machine learning techniques, especially deep learning which is becoming more and more popular everyday and has found a wide variety of applications worldwide. This paper includes an outline of the various machine learning algorithms along with their advantages and disadvantages. Neural Networks and Deep Learning are explained in detail including Perceptrons, Sigmoid Neurons and Architecture of Neural Networks within Neural Networks and Convolutional Neural Networks, Restricted Boltzman Machines and Deep Belief Networks within Deep Learning. |
Other Details |
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Paper ID: IJSRDV5I60341 Published in: Volume : 5, Issue : 6 Publication Date: 01/09/2017 Page(s): 596-602 |
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