cs501r_f2016:lab9
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cs501r_f2016:lab9 [2016/11/09 18:33] wingated |
cs501r_f2016:lab9 [2021/06/30 23:42] (current) |
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| - You must implement a siamese network that accepts two input images | - You must implement a siamese network that accepts two input images | ||
| - The network must output the probability that the two images are the same class | - The network must output the probability that the two images are the same class | ||
| + | - You should train the network using the contrastive loss function discussed in class | ||
| - Your implementation should use a ResNet architecture | - Your implementation should use a ResNet architecture | ||
cs501r_f2016/lab9.1478716408.txt.gz ยท Last modified: 2021/06/30 23:40 (external edit)
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