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Paper Details
Paper Title
Logistic Regression and Convolutional Neural Networks Performance Analysis based on Size of Dataset
Authors
  Kartik Chopra,  C. Srimathi
Abstract
Machine learning is a method of data analysis that automates analytical model building. Using algorithms that iteratively learn from data, machine learning allows computers to find hidden insights without being explicitly programmed where to look. Deep Learning is a new area of Machine Learning research, which has been introduced with the objective of moving Machine Learning closer to one of its original goals: Artificial Intelligence. Various deep learning architectures such as deep neural networks, convolutional deep neural networks, deep belief networks and recurrent neural networks have been applied to fields like computer vision, automatic speech recognition, natural language processing, audio recognition and bioinformatics where they have been shown to produce state-of-the-art results on various tasks. Deep learning requires many hyperparameters to tune such as the number of layers, the number of predictor variables.
Keywords- Artificial Intelligence, Deep Learning, Machine Learning
Publication Details
Unique Identification Number - IJEDR1801048Page Number(s) - 292-295Pubished in - Volume 6 | Issue 1 | January 2018DOI (Digital Object Identifier) -    Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Kartik Chopra,  C. Srimathi,   "Logistic Regression and Convolutional Neural Networks Performance Analysis based on Size of Dataset", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.6, Issue 1, pp.292-295, January 2018, Available at :http://www.ijedr.org/papers/IJEDR1801048.pdf
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