-EfficientNet, with its compound scaling methodology, had an impact on our understanding of the balance between efficiency and accuracy in deep learning. By intelligently scaling width, depth, and ...

This project implements a deep learning anomaly detection system for multivariate time series sensor data (simulating NASA Turbofan jet engines). It uses an LSTM Autoencoder to learn the patterns of ...