Deep convolutional neural network (DCNN) is an influential tool for solving various
problems in machine learning and computer vision. Recurrent connectivity is a very
important component of visual information processing within the human brain. The idea of
recurrent connectivity is rarely applied within convolutional layers, the exceptions being a
couple of DCNN architectures including recurrent convolutional neural network (RCNN) in
Liang and Hu (in: Proceedings of the IEEE conference on computer vision and pattern …

Deep convolutional neural networks (DCNNs) are an influential tool for solving various
problems in the machine learning and computer vision fields. In this paper, we introduce a
new deep learning model called an Inception-Recurrent Convolutional Neural Network
(IRCNN), which utilizes the power of an inception network combined with recurrent layers in
DCNN architecture. We have empirically evaluated the recognition performance of the
proposed IRCNN model using different benchmark datasets such as MNIST, CIFAR-10 …