DEEP LEARNING FOR VISION AND LANGUAGE

Credit Hours: 3 · Graduate

Visual recognition and language understanding are two challenging tasks in AI. In this course we will study and acquire the skills to build machine learning and deep learning models that can reason about images and text for generating image descriptions, visual question answering, image retrieval, and other tasks involving both text and images. On the technical side we will leverage models such as recurrent neural networks (RNNs), convolutional neural networks (CNNs), and transformer networks (e.g. BERT), among others. Mutually Exclusive: Cannot register for COMP 646 if student has credit for COMP 647 .