Deep Learning for Engineers

3 credits

Neural networks, computation graph, hyper-parameter tuning, regularization, batch normalization, convolutional neural networks, sequential models, recurrent neural networks, natural language processing, applications of deep learning to electrical, civil, mechanical and manufacturing engineering. [3-0-0] Prerequisite: Fourth-year standing.