Artificial Neural Networks

Graduate course, 3 credits, Spring 2019, 2020, Tsinghua, 2020

  • This course covers basic principles, models and algorithms of artificial neural networks, including single-layer network, multi-layer perceptron, radial basis networks, support vector machines, auto-encoders, deep learning, recurrent neural networks, feedback neural networks and competitive neural networks, with typical applications in engineering practice.

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