Terry Taewoong Um

deep learning machine learning deep neural network robotics 인공지능 딥러닝 lie group vae rnn cnn 머신러닝 kinematics 카이스트 4차산업혁명 로보틱스 교육 object detection optical character recognition ai text recognition ocr reinforcement learning 판사 법률가 인공지능 변호사 tutorial gan mlm dl variational autoencoder bayesian markov model kalman filter confidence uncertainty critics black box interpretability deep neural networks multimodal vision recurrent neural networks activity recognition data augmentation convolutional neural network spatial transformation deformable convolutional network tensorflow neural network jacobian motion planning optimization rrt 기계학습 mechanics dynamics robot 로봇 자동화 노동 motion analysis multi-body dynamics robot dynamics