IJERT-A Depth of Deep Learning for Big Data and its Applications (original) (raw)

2020, International Journal of Engineering Research and Technology (IJERT)

https://www.ijert.org/a-depth-of-deep-learning-for-big-data-and-its-applications https://www.ijert.org/research/a-depth-of-deep-learning-for-big-data-and-its-applications-IJERTCONV8IS10004.pdf Although Machine Learning (ML) has become synonymous for Artificial Intelligence (AI); recently, Deep Learning (DL) is being used in place of machine learning persistently. While machine learning is busy in supervised and unsupervised methods, deep learning continues its motivation for replicating the human nervous system by incorporating advanced types of Neural Networks (NN).. If we apply Deep Learning to Big Data, we can find unknown and useful patterns that were impossible so far. Deep Learning is applied in self driving cars, visual recognition, healthcare, transportation etc. Nowadays, companies have started to realize the importance of data availability in large amounts in order to make the correct decision and support their strategies. Big Data means extremely huge large data sets, which is heterogeneous whose characteristics (large volume, different forms, speed of processing), analyzed to find the patterns, trends. This paper provides an introductory tutorial to the domain of deep learning for Big Data with its history, evolution, and introduction to some of the sophisticated neural networks such as Deep belief network , Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN).

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