In this challenge we discover a convolutional autoencoder and build an encoder and decoder on the MNIST dataset. There are two options in this challenge:

  • Create an encoder yourself and a corresponding decoder (this is a harder and more creative challenge)
  • Create only the decoder based on a given encoder (when you are a beginner)

The data preprocessing and displaying the image is already included in the challenges. At the end you can view the generated number based on the trained model!

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