This project implements an autoencoder to compress and reconstruct images from the Fashion MNIST dataset. The autoencoder is built using TensorFlow/Keras and visualizes the reconstruction quality.

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Model architecture diagram of the deep convolutional autoencoder. The input to the model is a 9 × ... the dataset will be further expanded to establish a standardized anomaly detection sample set, ...