Siamese Network Architectures
Tim and Eric discuss building siamese network architectures using triplet and quadruplet loss layers. They highlight how multiple inputs are encoded using the same network, emphasizing the practical implementation of theoretical concepts. Visualizing the models showcases the complexity of the encoder layers compared to the simplicity of concatenations in the network.In this clip
From this podcast
Machine Learning Street Talk (MLST)
One Shot and Metric Learning - Quadruplet Loss (Machine Learning Dojo)
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