siamese network is a network that weights can be shared between layers
usage
this network can be used to decide the similarities between two inputs depending on the input the network structure has two variants:
- siamese network
- pseudo-siamese network
loss function
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contrastive_loss
def contrastive_loss(x_1, x_2, margin=1.0): return (x_1 * tf.square(x_2) + (1.0 - x_1) * tf.square(tf.maximum(margin - x_2, 0.))) -
exp loss L(x_1|x_2)=exp(-x_1*x_2)
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cosine loss L(x_1|x_2)=cos(x_1*x_2)
