3 Credits (3 Contact Hours)Covers the principles of recently developed algorithms in deep learning, such as convolutional neural networks, recursive neural networks, generative adversarial nets and deep reinforcement learning, self-attention, deep neural networks, auto encoders, and VAE. Students are expected to have familiarity with programming, linear algebra, and statistics before enrolling in this course.
