首页> 外国专利> COMPUTER-IMPLEMENTED METHOD OF TRAINING CONVOLUTIONAL NEURAL NETWORK, CONVOLUTIONAL NEURAL NETWORK, COMPUTER-IMPLEMENTED METHOD USING CONVOLUTIONAL NEURAL NETWORK, APPARATUS FOR TRAINING CONVOLUTIONAL NEURAL NETWORK, AND COMPUTER-PROGRAM PRODUCT

COMPUTER-IMPLEMENTED METHOD OF TRAINING CONVOLUTIONAL NEURAL NETWORK, CONVOLUTIONAL NEURAL NETWORK, COMPUTER-IMPLEMENTED METHOD USING CONVOLUTIONAL NEURAL NETWORK, APPARATUS FOR TRAINING CONVOLUTIONAL NEURAL NETWORK, AND COMPUTER-PROGRAM PRODUCT

机译:训练卷积神经网络的计算机实现方法,卷积神经网络,使用卷积神经网络的计算机实现方法,训练卷积神经网络的设备以及计算机程序产品

摘要

A computer-implemented method of training a convolutional neural network configured to morph content features of an input image with style features of a style image is provided. The computer-implemented method includes selecting a training style image; extracting style features of the training style image; selecting a training content image; extracting content features of the training content image; processing the training content image through the convolutional neural network to generate a training output image including the content features of the training content image morphed with the style features of the training style image; extracting content features and style features of the training output image; computing a total loss; and tuning the convolutional neural network based on the total loss including a content loss, a style loss, and a regularization loss.
机译:提供了一种训练卷积神经网络的计算机实现的方法,该卷积神经网络被配置为使用样式图像的样式特征来变形输入图像的内容特征。该计算机实现的方法包括选择训练样式图像;提取训练风格图像的风格特征;选择训练内容图像;提取训练内容图像的内容特征;通过卷积神经网络对训练内容图像进行处理,以生成训练输出图像,该训练输出图像包括以训练风格图像的样式特征变形后的训练内容图像的内容特征;提取训练输出图像的内容特征和样式特征;计算总损失;然后根据包括内容损失,样式损失和正则化损失在内的总损失来调整卷积神经网络。

著录项

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号