Survey on Deep Learning Algorithms

In recent past years, deep learning algorithms are becoming more significant in object recognition, Segmentation of image, speech recognition. Deep learning also provides flexible tools for analyze and processing big data. The objective of the article is to make a survey of many deep learning algorithms which are used in emerging research. Hence, the paper focuses on three mostly used and widely applied algorithms knows as deep neural networks, convolutional neural networks, recurrent neural networks. The aim is to provide better understanding of these algorithms, their efficiency, application and highlighting features.

[1]  Michael S. Lew,et al.  Deep learning for visual understanding: A review , 2016, Neurocomputing.

[2]  Mohamed Elhoseny,et al.  Secret image sharing scheme with encrypted shadow images using optimal homomorphic encryption technique , 2018, Journal of Ambient Intelligence and Humanized Computing.

[3]  Miftachul Huda,et al.  Decision Support System of Scholarship Grantee Selection Using Data Mining , 2018 .

[4]  Dr. T. Ravichandran OPTIMIZING AND ENHANCING PARALLEL MULTI STORAGE BACKUP COMPRESSION FOR REAL-TIME DATABASE SYSTEMS , 2012 .

[5]  S. K. Lakshmanaprabu,et al.  Financial crisis prediction model using ant colony optimization , 2020, Int. J. Inf. Manag..

[6]  M. Ilayaraja,et al.  Prediction of Layer Chicken Disease using Fuzzy Analytical Hierarcy Process , 2018 .

[7]  Jürgen Schmidhuber,et al.  Deep learning in neural networks: An overview , 2014, Neural Networks.

[8]  Mohamed Elhoseny,et al.  Optimal feature level fusion based ANFIS classifier for brain MRI image classification , 2018, Concurr. Comput. Pract. Exp..

[9]  Mohamed Elhoseny,et al.  Energy consumption analysis of Virtual Machine migration in cloud using hybrid swarm optimization (ABC–BA) , 2018, The Journal of Supercomputing.

[10]  Tri Susilowati,et al.  Determination of Scholarship Recipients Using Simple Additive Weighting Method , 2018 .

[11]  Mohamed Elhoseny,et al.  Feature selection based on artificial bee colony and gradient boosting decision tree , 2019, Appl. Soft Comput..

[12]  T. Ravichandran,et al.  OPTIMIZING MULTI STORAGE PARALLEL BACKUP FOR REAL TIME DATABASE SYSTEMS , 2012 .

[13]  Andino Maseleno,et al.  Optimal feature-based multi-kernel SVM approach for thyroid disease classification , 2018, The Journal of Supercomputing.

[14]  T. Ravichandran,et al.  EVALUATE DATABASE COMPRESSION PERFORMANCE AND PARALLEL BACKUP , 2013 .

[15]  N. Arunkumar,et al.  Optimal deep learning model for classification of lung cancer on CT images , 2019, Future Gener. Comput. Syst..

[16]  Quoc V. Le,et al.  On optimization methods for deep learning , 2011, ICML.

[17]  Ronald M. Summers,et al.  Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning , 2016, IEEE Transactions on Medical Imaging.

[18]  Jorge Bernardino,et al.  Comparing NoSQL Databases with a Relational Database: Performance and Space , 2015 .

[19]  S. K. Lakshmanaprabu,et al.  Intelligent hybrid model for financial crisis prediction using machine learning techniques , 2018, Information Systems and e-Business Management.

[20]  J. Beschi Raja,et al.  Iaas for Private and Public Cloud using Openstack , 2016 .

[21]  Joel J. P. C. Rodrigues,et al.  Effective Features to Classify Big Data Using Social Internet of Things , 2018, IEEE Access.

[22]  T. Ravichandran,et al.  Performance Enhancement Evaluation in Database Decompression Using HIRAC Algorithm , 2012 .

[23]  Mohamed Elhoseny,et al.  Collaborative task assignment of interconnected, affective robots towards autonomous healthcare assistant , 2019, Future Gener. Comput. Syst..

[24]  K. Sivakumar,et al.  Novel Investigation Methodologies to Identify the SQL Server Query Performance , 2015 .

[25]  Muthukumar Murugesan,et al.  REAL TIME DATABASE COMPRESSION OPTIMIZATION USING ITERATIVE LENGTH COMPRESSION ALGORITHM , 2013 .

[26]  Mohamed Elhoseny,et al.  Hybrid optimization with cryptography encryption for medical image security in Internet of Things , 2018, Neural Computing and Applications.

[27]  Joel J. P. C. Rodrigues,et al.  Ranking Analysis for Online Customer Reviews of Products Using Opinion Mining with Clustering , 2018, Complex..

[28]  Mohamed Elhoseny,et al.  Genetic Algorithm Based Model For Optimizing Bank Lending Decisions , 2017, Expert Syst. Appl..

[29]  J. Beschi Raja,et al.  Mobile Ad Hoc Grid Architecture Based On Mobility of Nodes , 2014 .