Abstract: Convolutional neural networks (CNNs) are a specialized type of deep neural networks (DNNs) that utilize a mathematical operation called convolution instead of general matrix multiplication ...

Abstract: Convolutional Neural Networks are deployed mostly on GPUs or CPUs. However, due to the increasing complexity of architecture and growing performance requirements, these platforms may not be ...

Finally, the prediction result is output. In this paper, the CNN architecture shown in Figure 4 is constructed. No upper limit is set for the input window, and the lower limit of the input window is a ...

To ensure the proposed architecture can obtain high-level features, the data fed to the network was not raw data but the optical-flow, which is higher level feature than raw data and has been proved ...

Yann le Cun和 Yoshua Bengio于 1995 年推出卷积神经网络[ 1]，也称为卷积网络或 CNN。CNN 是一种特殊的多层神经网络[ 2]，以明显的网格状拓扑结构处理数据。它的网络基础基于一种叫做卷积的数学运算。从根本上说， 机器学习算法使用矩阵乘法，但相比之下，CNN 至少在 ...

流量分类是网络异常检测或基于网络的入侵检测系统的第一步，在网络安全领域发挥着重要作用。 在本文中，我们首先从人工智能的角度提出了一种新的流量分类分类，然后提出了一种以流量数据为图像的卷积神经网络恶意软件流量分类方法。 该方法不需要 ...