… The latest advances in deep learning … deep learning in biological age estimation. We
consider the current data modalities that have been used to study aging and the deep learning …

… a novel age estimation method based on Deep ConvNets. We train Deep ConvNets to get
high… In this paper, we propose a face age estimation framework based on Deep Convolutional …

… methods to estimate age. In this work, we present a novel method for age estimation from a
… Autoencoder is an artificial neural network used for unsupervised learning of efficient coding…

… of deep learning models for the age estimation problem are still not fully explored, which
motivates us to perform a comprehensive diagnosis of the deep age estimation model to dig out …

… We categorize existing brain age estimation models based on the deep learning architectures
used for the estimation. Moreover, we further classify such models depending on whether …

… Shallow age estimator: the age estimator learns from the ageing patterns how to predict the
age. It can … The shallow age estimator gets a big error as in a deep age estimator under facial …

… for age estimation based on face images, consisting of a CNN-based representation learning
trained for face recognition and age … This allows to overcome the lack of large-scale age …

… neural networks for age estimation. As mentioned above, we first conduct thorough evaluation
of deep learning for age estimation. Deep learning has been proposed in the past and …

… deep learning techniques for age estimation based on the convolutional neural network (CNN).
A new framework for age feature extraction based on the deep learning … our estimation …

… estimation using the relatively small competition dataset. We show that the precise age
estimation … ” VGG-16 network for apparent age estimation of children between 0 and 12 years old …