MATH 540 Deep Learning

4 semester hours

Neural networks and related algorithms: stochastic gradient descent and backpropagation. Modern deep learning framework (e.g. TensorFlow, Pytorch) and GPU computing.  Convolutional Neural Networks and applications to image recognition. Recurrent Neural Network, Transformer networks and applications to natural language processing (e.g. sentiment analysis, translation, natural language modeling).

Prerequisites: MATH 234 and MATH 251 and CMSI 1010 or consent of instructor.

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