DM568: Deep Learning

Description

The following main topics are contained in the course: feedforward neural networks recurrent neural networks convolutional neural networks backpropagation algorithm mathematical background of the methods regularization advanced neural network optimization techniques Planned lessons: Total number of planned lessons: 60 Hereof: Common lessons in classroom/auditorium: 42 Common lessons in laboratory: 18 The course will consist of frontal lectures supported by a discussion session followed by an accompanying exercise or lab session. Here, the students are supposed to directly transfer their acquired knowledge into practice by solving problems of increasing difficulty. Other planned teaching activities: The students are supposed to work together in small groups and review the course material and read accompanying chapters for the next day of lectures.