IEEE1 年
Overview of Convolutional Neural Networks
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 ...
IEEE2 年
Convolutional Neural Networks
Abstract: This chapter presents a compelling family of deep learning models, known as convolutional neural networks, which are specifically designed for the image ... so as to enable the execution of ...
GitHub1 年
convolutional-neural-networks-cnns-tutorial-with-python-417c29f0403f.md
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 ...
Frontiers7 年
Dual Temporal Scale Convolutional Neural Network for Micro-Expression Recognition
Row 2 and 4 is the optical flow sequence that computed from their above line, respectively. DTSCNN is a two streams network with 3D convolution and pooling units. Unlike typical convolution or pooling ...
GitHub10 个月
Malware Traffic Classification Using Convolutional Neural Network for Representation ...
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 ...
MicroCloud Hologram Inc. Develops Quantum Algorithm Technology for Deep Convolutional ...
MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, have developed a quantum algorithm technology for deep convolutional neural network (CNN) exchange ...