Deep Learning/Engineering Appl
This course provides an in-depth exploration of deep learning techniques and their practical applications across various engineering applications. Topics include Feed Forward Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Autoencoders, and Transformers applied to engineering applications such as demand forecasting; route optimization for transportation and delivery; inventory management; dimensionality reduction; anomaly detection in manufacturing and quality control; digital twin modeling; and surrogate of simulation models.