In this course, students learn about the basics of deep neural networks and their application to AI tasks. The course explores various neural network structures, such as feedforward networks, recurrent networks, convolutional networks and transform networks. Students learn to utilize deep learning techniques in their software design and development. Additional topics include linear algebra, simulation, modeling, tensors and others as time allows. Credits: 4