scikit-learn’s support for deep learning is pretty limited, but it does offer just enough functionality to build a usable autoencoder. It won’t give you the flexibility or performance of a GPU-backed implementation in Pytorch or Tensorflow, but if you’re working with small datasets and need a lightweight dependency, it’ll do the job. This post was inspired by a Gist by @golamSaroar that demonstrated the basic functionality of an MLP autoencoder.
