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Found 2 papers, 1 papers with code
Deep Generative Adversarial Networks for Compressed Sensing Automates MRI
A multilayer convolutional neural network is then jointly trained based on diagnostic quality images to discriminate the projection quality.
Learning both Weights and Connections for Efficient Neural Network
On the ImageNet dataset, our method reduced the number of parameters of AlexNet by a factor of 9×, from 61 million to 6. 7 million, without incurring accuracy loss.
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