GitHub / steveee27 / Autoencoder-for-Dimension-Reduction-in-Fashion-MNIST-Dataset

This project uses an Autoencoder for dimension reduction on the Fashion MNIST dataset, which contains grayscale clothing images. The goal is to reduce the 784-dimensional images (28x28) to a 128-dimensional latent space while reconstructing the images. The performance is evaluated using the Structural Similarity Index (SSIM).

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Topics: autoencoder, deeplearning, dimensionreduction, fashionmnist, ssim

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