- Raymond Ptucha, Assistant Professor in Computer Engineering and Director of the Machine Intelligence Laboratory at Rochester Institute of Technology
Deep learning has been revolutionizing the machine learning community. This tutorial will first review necessary concepts of Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) used in face and gesture deep learning models. Participants will then learn building block techniques such as fully convolutional, sequence models, transformer models and latent vector representations in preparation to understand the latest methods for face detection, people detection, body pose estimation, facial recognition, super resolution, generative networks, and video processing. Sample code will be reviewed and distributed so that upon completion, participants can run code on their own data. The final third of this tutorial is an NVIDIA Deep Learning Institute hands-on session where participants will practice building and testing their own deep models using provided cloud resources.