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SYSTEM AND METHOD FOR DESIGNING EFFICIENT SUPER RESOLUTION DEEP CONVOLUTIONAL NEURAL NETWORKS BY CASCADE NETWORK TRAINING, CASCADE NETWORK TRIMMING, AND DILATED CONVOLUTIONS
SYSTEM AND METHOD FOR DESIGNING EFFICIENT SUPER RESOLUTION DEEP CONVOLUTIONAL NEURAL NETWORKS BY CASCADE NETWORK TRAINING, CASCADE NETWORK TRIMMING, AND DILATED CONVOLUTIONS
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机译:通过级联网络训练,级联网络修剪和分散卷积设计高效超高分辨率深层卷积神经网络的系统和方法
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摘要
Apparatuses and methods of manufacturing same, systems, and methods for generating a convolutional neural network (CNN) are described. In one aspect, a minimal CNN having, e.g., three or more layers is trained. Cascade training may be performed on the trained CNN to insert one or more intermediate layers until a training error is less than a threshold. When cascade training is complete, cascade network trimming of the CNN output from the cascade training may be performed to improve computational efficiency. To further reduce network parameters, convolutional filters may be replaced with dilated convolutional filters with the same receptive field, followed by additional training/fine-tuning.
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