Train an Autoencoder for Anomaly Detection in PyTorch
Easyauto-graded
Build an autoencoder that learns normal data patterns, then detect anomalies by measuring reconstruction error.
Solve it
Check your answer
The grader verifies properties of your implementation, so a correct solution written differently from ours still passes.
pip install torchleet
from torchleet import check
check("autoencoder", Autoencoder)