Variational Auto-Encoder

Update Log 2021-07-24: Initial Upload Auto-Encoder It is an unsupervised approach for learning a lower-dimensional feature representation from unlabelled training data. The encoder is trained usually with a decoder trying to recover the original data xxx. L2 loss between the reconstructed and original input data is calculated to facilitate the training ..