This project works by performing anomaly detection on sensory data. The model chosen is LSTM-VAE which is a type of unsupervised deep learning algorithm.
#Working Environment
- Java JDK 1.8
- DL4J beta 6
- Recommended IDE: IntelliJ
Detect machine anomaly from sensory data using LSTM Autoencoder.
This project works by performing anomaly detection on sensory data. The model chosen is LSTM-VAE which is a type of unsupervised deep learning algorithm.
#Working Environment
Detect machine anomaly from sensory data using LSTM Autoencoder.