Lecture 18 - Efficient Point Cloud Recognition | MIT 6.S965

Lecture 18 introduces the basics of point cloud recognition and efficient algorithm design for point cloud applications. Keywords: Point Cloud Recognition, Point Cloud, Voxel Slides: https://efficientml.ai/schedule/ ------------------------------------------------------------------------------------ TinyML and Efficient Deep Learning Computing Instructors: Song Han: https://songhan.mit.edu Have you found it difficult to deploy neural networks on mobile devices and IoT devices? Have you ever found it too slow to train neural networks? This course is a deep dive into efficient machine learning techniques that enable powerful deep learning applications on resource-constrained devices. Topics cover efficient inference techniques, including model compression, pruning, quantization, neural architecture search, and distillation; and efficient training techniques, including gradient compression and on-device transfer learning; followed by application-specific model optimization techniques for videos, point cloud, and NLP; and efficient quantum machine learning. Students will get hands-on experience implementing deep learning applications on microcontrollers, mobile phones, and quantum machines with an open-ended design project related to mobile AI. Website: http://efficientml.ai/