… Firstly, a facial expression dataset based on public spatial … a size of 224×224 was input into
convolutional neural network (… 网络层,VGG16 与LSTM 的连接方式如图5:在 VGG16的最后一个…

… 模型对情感特征进行分类识别,并且与VGG16和ResNet50模型进行对比以验证构建模型… scale
of the test dataset is relatively small, the effectiveness of annotation was not calculated using …

… language processing, and speech recognition. In autonomous … 针对VGG-16,本文方法将其
参数数量压缩了11.4倍,同时TOP1… median for deep convolutional neural networks acceleration//…

… Visual speech recognition for small scale dataset using VGG16 convolution neural
network[J]. Multimedia Tools and Applicationsꎬ 2021:DOI:10. 1007/ s11042-021-11119-0. …

… 维卷积神经网络(convolutional neural network, CNN) 的输入. … 分类, 之后使用 卷积神经网络
VGG-16 作为分类器, 获得了71% … Voice recognition based on adaptive mfcc and deep learning …

… convolution neural network (CNN) to extract features from video … Experiments on MAHNOB-HCI
dataset and DEAP dataset … 图4 显示的是VGG-16 三个卷积层输出的特征图. 如图3 所示, 脑…

… 分类的深 度卷积神经网络(deep convolutional neural networks, DCNNs)引入到目标检测领域
[… 了ZFNet,VGG16 和VGG_CNN_1024 三 种特征提取网络的检测性能,结果显示VGG16 模型 在…

… of cascade convolutional neural network mainly include … image size, started year, and
characteristics of each dataset are … 使用VGG-16网络作为骨干网络,不同之处在于RON将VGG-16网络…

… in many fields such as speech recognition, natural language … of various convolutional neural
networks (CNNs) in palmprint … Third, we compare the performance of VGG-16 and VGG-19 …

… Convolutional neural networks(CNNs) has made breakthroughs in computer vision, speech
recognition and … 本文参考Li 等人(2016)中将VGG16 改 为13 个卷积层和1 个全连接层的结构.…