DEEP LEARNING BASED ON BIG DATA ANALYTICS

Deep learning techniques are widely extended to numerous scientific disciplines and information technology like voice recognition, object definitions, and learning processes in visual processing. Likewise, conventional data analysis methods have many constraints of processing massive amount of information. Deep Learning is actually a rather emerging field in neural networks and culture of artificial intelligence. It has gained enormous success in important field technologies like Machine learning, Voice and Video Analysis, and Machine Translation Processing. There are huge quantities of information produced by numerous sources daily. Therefore, the data concept is translated to Analytics that poses difficulties in the phases of knowledge processing and judgment-making. Furthermore, Big Data analytics needs new and advanced methodologies depending on system and deep learning methods to analyze data in real-time with high reliability and productivity. Deep learning skills can promote the handling of such information, particularly their capacity to handle both the marked and unmarked data which are sometimes amply gathered in Big Data. The paper provides a comprehensive of Big Data and discusses particular problems in analytics that Deep Learning can solve.