Artificial intelligence (AI) has become a cornerstone of modern technology, revolutionizing
industries from healthcare to finance. Convolutional neural networks (CNNs) are a subset of …

… On the other hand, in this survey, we discuss the intrinsic … The various CNN architectures
discussed in this survey are broadly … This survey also gives an insight into the basic structure of …

… Section VI concludes the survey by giving a bird’s eye … convolution neural networks cannot
learn data in non-Euclidean space, the previous GNN model cannot combine with convolution…

… High powered and persuasive deep learning technique convolutional neural networks (CNN)
identical to Artificial Neural Networks(ANNs) are composed of neurons, possessing learn …

… the development history of convolutional neural networks and the advantages of
conventional neural networks. The structure of the convolutional neural network is highlighted. …

… the efforts of visualizing and understanding convolutional neural networks. In Section 9, we
will … In Section 10, we will discuss recent efforts of combining deep neural networks to model …

… In the recent era, the success of deep convolutional neural networks (CNN) has influenced
the field of segmentation greatly and gave us various successful models to date. In this survey…

… performance of deep Convolutional neural networks (CNNs) is … Pruning neural networks
has thus gained interest since it … This article surveys the recent progress towards structured …

… processor units, the research on convolutional neural networks has been emerged swiftly
and … , we provide a broad survey of the recent advances in convolutional neural networks. We …

… This section surveys some of the ways to deal with these problems. The list of approaches
for improving the speed of neural networks on CPUs [49] includes 8-bit quantization. Several …