Large-margin softmax loss for convolutional neural networks
Cross-entropy loss together with softmax is arguably one of the most common used
supervision components in convolutional neural networks (CNNs). Despite its simplicity …
supervision components in convolutional neural networks (CNNs). Despite its simplicity …
Large-Margin Softmax Loss for Convolutional Neural Networks
W Liu, Y Wen, Z Yu, M Yang - International Conference on …, 2016 - proceedings.mlr.press
Cross-entropy loss together with softmax is arguably one of the most common used
supervision components in convolutional neural networks (CNNs). Despite its simplicity …
supervision components in convolutional neural networks (CNNs). Despite its simplicity …
Large-Margin Softmax Loss for Convolutional Neural Networks
W Liu, Y Wen, Z Yu, M Yang - arXiv e-prints, 2016 - ui.adsabs.harvard.edu
Cross-entropy loss together with softmax is arguably one of the most common used
supervision components in convolutional neural networks (CNNs). Despite its simplicity …
supervision components in convolutional neural networks (CNNs). Despite its simplicity …
[PDF][PDF] Large-Margin Softmax Loss for Convolutional Neural Networks
W Liu, EDU CN, Y Wen, M SCUT, Z Yu, CMU EDU… - wyliu.com
Cross-entropy loss together with softmax is arguably one of the most common used
supervision components in convolutional neural networks (CNNs). Despite its simplicity …
supervision components in convolutional neural networks (CNNs). Despite its simplicity …
Large-Margin Softmax Loss for Convolutional Neural Networks
W Liu, Y Wen, Z Yu, M Yang - International Conference on …, 2016 - jmlr.csail.mit.edu
Cross-entropy loss together with softmax is arguably one of the most common used
supervision components in convolutional neural networks (CNNs). Despite its simplicity …
supervision components in convolutional neural networks (CNNs). Despite its simplicity …
Large-margin softmax loss for convolutional neural networks
W Liu, Y Wen, Z Yu, M Yang - … of the 33rd International Conference on …, 2016 - dl.acm.org
Cross-entropy loss together with softmax is arguably one of the most common used
supervision components in convolutional neural networks (CNNs). Despite its simplicity …
supervision components in convolutional neural networks (CNNs). Despite its simplicity …
Large-Margin Softmax Loss for Convolutional Neural Networks
W Liu, Y Wen, Z Yu, M Yang - chrisding.github.io
Cross-entropy loss together with softmax is arguably one of the most common used
supervision components in convolutional neutral networks (CNNs). Despite its simplicity …
supervision components in convolutional neutral networks (CNNs). Despite its simplicity …
Large-Margin Softmax Loss for Convolutional Neural Networks
W Liu, Y Wen, Z Yu, M Yang - International Conference on …, 2016 - proceedings.mlr.press
Cross-entropy loss together with softmax is arguably one of the most common used
supervision components in convolutional neural networks (CNNs). Despite its simplicity …
supervision components in convolutional neural networks (CNNs). Despite its simplicity …
Large-Margin Softmax Loss for Convolutional Neural Networks
W Liu, Y Wen, Z Yu, M Yang - wyliu.com
Cross-entropy loss together with softmax is arguably one of the most common used
supervision components in convolutional neutral networks (CNNs). Despite its simplicity …
supervision components in convolutional neutral networks (CNNs). Despite its simplicity …