In machine learning, many recent successes have been achieved using neural networks with several layers, so-called deep neural networks. Convolutional neural nets, autoencoders, recurrent neural nets, long-short term memory networks, and generative adversarial networks will be presented. Students will look at techniques for training them from data, and applications. Prerequisite: CMPT 310, CMPT 410 or CMPT 419 (Machine Learning), both with a minimum grade of C-. Students with credit for CMPT 728 may not take this course for further credit.
In machine learning, many recent successes have been achieved using neural networks with several layers, so-called deep neural networks. Convolutional neural nets, autoencoders, recurrent neural nets, long-short term memory networks, and generative adversarial networks will be presented. Students will look at techniques for training them from data, and applications. Prerequisite: CMPT 310, CMPT 410 or CMPT 419 (Machine Learning), both with a minimum grade of C-. Students with credit for CMPT 728 may not take this course for further credit.
