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Convolutional Autoencoder

Implementation of a convolutional autoencoder in Julia using Flux.

Model architecture

All of the interesting info can be found in the Jupyter Notebook. In summary, a model learns how to represent a whole image of a digit in just two numbers (which is a 99.21% compression rate).

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Project for the Introduction to machine learning course on Warsaw University of Technology

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