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Comparison of Deep-Learning Training Techniques for Person’s Social Convention Estimation Model

The difference in person’s social convention, like culture, nationality, age, or gender, makes the consumer decision-making style different and unique. Various businesses use this information to analyze and assist them in making the activities or the advertisement media consistent with the target customer. This research focuses on the estimation method that uses machine learning techniques to identify individuals’ social conventions, such as gender and age. Here, five training techniques are compared. The results show significant results that can be used in age and gender estimation. This information can be used in the application to estimate the target customer decision-making style.