Man | Woman | King | Queen | Apple | Orange | |
---|---|---|---|---|---|---|
Gender | -1 | 1 | -0.95 | 0.97 | 0.00 | 0.01 |
Man | Woman | King | Queen | Apple | Orange | |
---|---|---|---|---|---|---|
Royal | 0.01 | 0.02 | 0.93 | 0.95 | -0.01 | 0.00 |
Man | Woman | King | Queen | Apple | Orange | |
---|---|---|---|---|---|---|
Gender | -1 | 1 | -0.95 | 0.97 | 0.00 | 0.01 |
Royal | 0.01 | 0.02 | 0.93 | 0.95 | -0.01 | 0.00 |
Age | 0.03 | 0.02 | 0.7 | 0.69 | 0.03 | -0.02 |
Food | 0.09 | 0.01 | 0.02 | 0.01 | 0.95 | 0.97 |
“Maaten L V D, Hinton G. Visualizing Data using t-SNE[J]. Journal of Machine Learning Research, 2008, 9(2605):2579-2605.
“Taigman Y, Yang M, Ranzato M, et al. DeepFace: Closing the Gap to Human-Level Performance in Face Verification[C]// IEEE Conference on Computer Vision and Pattern Recognition. IEEE Computer Society, 2014:1701-1708.
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