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deep-learning-with-keras

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shahab-ghafoor / Siamese-Network-with-Triplet-Loss-in-Keras

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The project implements Siamese Network with Triplet Loss in Keras to learn meaningful image representations in a lower-dimensional space. By training on the MNIST dataset, it creates a powerful architecture and implements Triplet Loss function. The resulting model enables applications like image search, recommendation systems, and image clustering.

mnist-dataset triplet-loss neural-network-architectures siamese-networks image-representation-learning-mnist-dataset deep-learning-with-keras
  • Updated Feb 24, 2024
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