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IJCSN-International Journal of Computer Science and Network
Nowadays, the feature engineering approach has become very popular in deep neural networks. The purpose of this approach is to extract higher-level and more efficient features compared to those of learning data and to improve the learning of machines. One of the common ways in feature engineering is the use of deep belief networks. In addition, one of the problems in deep neural networks' training is the training process. The problems of the training process will be further enhanced in thefatcat:3h4oqnmi7nfghkbqxz56hq6c6a