siamese-network
Learn to measure similarity between pairs of images using convolutional encoders
Image Pair Comparisons
Start training to see image pair comparisons
Idle
Epoch 0/50 • Batch 0-
loss
-
BCE Loss
-
Hyperparameters
0.0010
50
128
About Siamese Networks
Siamese networks learn to measure similarity between inputs by processing both through identical convolutional encoder networks, then comparing the resulting embeddings.
This example uses Conv2d layers to extract spatial features from MNIST digits. Green border = same digit, Red border = different.
Reading the Results
Same digit (should predict >50%)
Different digits (should predict <50%)
Logs
No output yet...