首页>
外国专利>
SYSTEM AND METHOD FOR IMPROVING CONVOLUTIONAL NEURAL NETWORK-BASED MACHINE LEARNING MODELS
SYSTEM AND METHOD FOR IMPROVING CONVOLUTIONAL NEURAL NETWORK-BASED MACHINE LEARNING MODELS
展开▼
机译:改进卷积神经网络的机器学习模型的系统和方法
展开▼
页面导航
摘要
著录项
相似文献
摘要
Improved convolutional neural network-based machine learning models are disclosed herein. A convolutional neural network is configured to decompose feature maps generated based on a data item to be classified. The feature maps are decomposed into a first and second subsets. The first subset is representative of high frequency components of the data item, and the second subset is representative of low frequency components of the data item. The second subset is upsampled and is combined with the first subset. The combined feature maps are convolved with a filter to extract a set of features associated with the data item. The first subset is also downsampled and combined with the second subset. The combined feature maps are convolved with a filter to extract another set of features. The data item is classified based on the sets of features extracted based on the convolution operations.
展开▼