MachineLearning/autoencoder library
🧠Autoencoder (simple dense feed-forward encoder/decoder)
A small, configurable autoencoder using fully-connected layers and mean squared error reconstruction loss. Designed to be explicit and easy to understand with clear docs for engineering adaptation.
Contract:
- Input: X (n x m), hidden dimension
h. - Output: encoded representations and reconstruction function.
- Error: throws for invalid dimensions.
Time Complexity: O(n * m * h * iters) Space Complexity: O(m * h)