[SPCL_Bcast] TinyML and Efficient Deep Learning Scalable Parallel Computing Lab, SPCL @ ETH Zurich 37:51 3 years ago 762 Далее Скачать
tinyML Summit 2021 Keynote Song Han: Putting AI on a Diet: TinyML and Efficient Deep Learning EDGE AI FOUNDATION 45:54 3 years ago 2 427 Далее Скачать
Ji Lin's PhD Defense, Efficient Deep Learning Computing: From TinyML to Large Language Model. @MIT MIT HAN Lab 56:18 10 months ago 9 633 Далее Скачать
EfficientML.ai Lecture 1 - Introduction (MIT 6.5940, Fall 2023) MIT HAN Lab 1:17:05 1 year ago 54 069 Далее Скачать
tinyML Asia 2022 Omiya Hassan: Power Efficient Neural Network Based Hardware Architecture for... EDGE AI FOUNDATION 27:19 1 year ago 405 Далее Скачать
How far can we scale up? Deep Learning's Diminishing Returns (Article Review) Yannic Kilcher 20:27 3 years ago 22 983 Далее Скачать
tinyML Asia 2021 Plenary - Song Han: Putting AI on a Diet: TinyML and Efficient Deep Learning EDGE AI FOUNDATION 32:46 2 years ago 444 Далее Скачать
tinyML Asia 2021 Yunxin Liu: Efficient on-device deep learning EDGE AI FOUNDATION 24:52 3 years ago 360 Далее Скачать
Efficient Computing for Deep Learning, Robotics, and AI (Vivienne Sze) | MIT Deep Learning Series Lex Fridman 1:18:48 4 years ago 57 247 Далее Скачать
tinyML Talks - Song Han: Train One Network and Specialize it for Efficient Deployment EDGE AI FOUNDATION 35:37 4 years ago 1 651 Далее Скачать
From SqueezeNet to SqueezeBERT: Developing Efficient Deep Neural Networks Microsoft Research 1:08:34 4 years ago 4 361 Далее Скачать
Athena kickoff meeting - Prof. Song Han (MIT) - TinyML and Efficient Deep Learning on Edge Devices NSF AI Institute - Athena 4:08 3 years ago 45 Далее Скачать