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초록

영어

Deep learning is a technique of machine learning in artificial intelligence area. Deep learning is a refined "machine learning" algorithm that surpasses a considerable lot of its forerunners in its capacity to perceive syllables and pictures. As of now Deep learning is a greatly dynamic examination territory in machine learning and example acknowledgment society. It has increased colossal triumphs in an expansive zone of utilizations, for example, speech recognition, computer vision and natural language processing and numerous industry items. Neural networks are used to implement the machine learning or to design intelligent machines. In this paper thorough survey to all machine learning paradigms and application areas of deep machine learning and different types of neural networks with applications are discussed.

목차

Abstract
 1. Introduction
 2. Research Methods
 3. Applications
 4. Results and Analysis
 5. Conclusion
 References

키워드

Feature Representation Machine learning (ML) Neural Nets Models Deep Neural Network DNN Convolutional Neural Networks CNNs and Deep Belief Networks DBNs Automatic Speech Recognition ASR and Artificial Neural Network ANN

저자

• Chandrahas Mishra [ M.Tech in Computer Science & Engineering KNIT Sultanpur, India ]
• Dharmendra Lal Gupta [ Associate Professor in Computer Science & Engineering Dept. KNIT Sultanpur, India ]

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