CHEM ENG 788 / Neural Networks and Development Tools

1.5 unit(s)

Cross-listed as SEP 788 and MECH ENG 788

Prerequisite(s): Working knowledge of one of the programming languages (Python, C++, C#, MATLAB).
Must be enrolled in CHEM ENG. However, permission will be granted to other students from other graduate programs with department consent.

Machine learning and deep learning. Single layer neural networks architecture and training. Multi-layer neural networks architecture. Activating via forward propagation, training via back propagation Parallelizing neural network training, training neural networks via TensorFlow. Other DNN frameworks and hardware (Caffe, Theano, Nvidia cuDNN). Machine learning algorithms with neural networks as a bridge to deep learning. Design and development strategies for real-world applications