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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
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.
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