Deep Learning for Understanding the Human

We will explore how deep learning approaches can be used for perceiving and interpreting the state and behavior of human beings in images, video, audio, and text data. The course will cover how convolutional, recurrent and generative neural networks can be used for applications of face recognition, eye tracking, cognitive load estimation, emotion recognition, natural language processing, voice-based interaction, and activity recognition. The course is open to beginners and is designed for those who are new to deep learning, but it can also benefit advanced researchers in the field looking for a practical overview of deep learning methods and their application.