Abstract:

Deep learning is a hand of machine learning. In the process of machine learning from the beginning to today, the interest in artificial intelligence has increased and has made the emergence of deep learning architectures, the most commonly used algorithms of artificial intelligence today. With deep learning architectures, many deep learning approaches have been developed to solve artificial intelligence problems. Industry, medicine, robotics, image processing, computer vision, object detection, sound processing-identification, translation, future forecast, financial, and many other areas produce intelligent solutions. In this study, the study of profound learning architectures and algorithms assessed the achievements on the basis of the fields of application in the light of the work done in literature. The profound learning architectures are located in the libraries used in profound learning. However, there are deep learning architectures developed to solve different problems.

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