IE 7615: Neural Networks and Deep Learning
Lecture - 4 credits
- Covers the theory and applications of neural networks in engineering.
- Reviews basics of machine learning, discusses important neural network architectures, and presents neural network training methods and algorithms.
- The specific neural network models covered in this course include feedforward neural networks such as deep learning architectures, radial basis function networks, support vector machines, self-organizing feature maps, and recurrent networks.
- Discusses neural network applications in several areas including manufacturing, healthcare, medicine, business, and diagnostics and prognostics.
Covers the theory and applications of neural networks in engineering. Show more.