… have to manage the issue of gender recognition through face image, in this … gender
recognition through face image that can improve overall accuracy with VGGNet architecture of Deep …

… Local-DNN model to the gender recognition problem using face … Our Local-DNN framework
outperforms other deep learning … Section 2 describes the related work on gender recognition. …

… Besides solving problems like shadowing and lighting, use of gender recognition can also
be … In this paper, we have been able to solve the task of gender recognition by using deep …

… to train a gender recognition model based on the deep convolutional … deep convolutional
networks to gender recognition. The task of gender recognition aims to determine the gender of …

… , biometry, gender recognition applications can be seen. In this study, gender recognition
was carried out from face images with deep learning. The Local Receptive Field-Extreme …

… Pedestrians’ gender is a soft attribute which is useful in many areas of … ’ gender prediction
is one of the challenging methodologies in image processing. In this article, a deep learning …

… [60], achieving good results in both age and gender recognition. In these deep learning
approaches… to perform age or gender recognition are not hand-crafted but learned from the data. …

… learning algorithms to face gender classification we propose a hybrid machine learning
system… A major motivation for using CNNs for gender recognition is their impressive success that …

… Its core idea is to train the deep neural networks to learn object’s highlevel, abstract … apply
deep learning in the face gender recognition task to establish the joint features learning deep …

… When standard speech features are compared to the deep feature extracted in this study,
the latter performs nearly 2% better at gender recognition than the former. As a result, the deep …