… Within this paper, we have explored that by doing learn and classification method and with
the utilization of Deep Convolutional Neural Networks (D-CNN) technique, a satisfied growth …

… In this paper, we propose a robust and effective method to classify gender using CNN. The
network architecture has lesser number of layers and parameters as compared to existing …

… a gender recognition model for all kinds of people. This paper proposes to train a gender
recognition … These experimental results demonstrate the good performance of our method. …

… learning methodologies. Additionally, another interesting aspect is concentrating on extending
our framework for handling big data with traditional technique and platforms such as [40,…

… Based on this intuition, we develop a new metric learning method which we call sparse …
learning methods, using the Matlab software and our dataset for gender recognition experiments. …

… learning method is appropriate for gender classification. If CNN effectively identifies the
gender … , the latter performs nearly 2% better at gender recognition than the former. As a result, …

… ’ gender prediction is one of the challenging methodologies in image processing. In this article,
a deep learning … by a deep decompositional neural network method. The outcome of this …

… At the same time, the accuracy of the proposed method was compared with the accuracy …
conventional machine learning approaches. The study was successful at predicting gender with …

… The study focuses on applying machine learning method to recognize gender. The main …
The main idea behind this paper was to find a more efficient method for gender recognition, …

… In the second column of Table 1 we show the average classification error of each studied
method. The third column shows the number of times each methods obtains the best accuracy …