报告题目: A Shallow Overview of Convoluted Neural Network on Machine Vision
报告人：Michael Chen， 加拿大约克大学数学与统计系 教授
报告时间：2019年4月29日（星期一），10:00—11:00
报告地点：龙赛理科楼，PG电子
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报告摘要: We will study the relevant history of machine learning, and its biological foundation, mathematical structure including convolution, filter, loss function, computational graph, back propagation, activation,regularization, classical architectures, different tasks, CNN visualization, and interesting remarks on how to fool a machine.
