40:16
TinyML and Efficient Deep Learning
1.5K views • 1 year ago
58:49
TinyML and Efficient Deep Learning on IoT Devices
1.9K views • 1 year ago
56:31
MIT Prof Song Han on TinyML: Reducing AIs Carbon Footprint. Stanford MLSys Seminar Episode 9
7.4K views • 3 years ago
35:47
Efficient AI: Reducing the Carbon Footprint of AI in the Internet of Things (IoT)
2K views • 3 years ago
31:50
"Once-for-All" DNNs: Simplifying Design of Efficient Models for Diverse Hardware
1K views • 3 years ago
41:58
Lite Transformer and Hardware-aware Transformer, Invited Talk @ Microsoft Research:
1.5K views • 3 years ago
39:35
CVPR'20 tutorial: AutoML for TinyML with Once-for-All Network
1.5K views • 3 years ago
55:46
Song Han's PhD Defense. June 1, 2017 @Stanford
240K views • 6 years ago
33:53
FPGA'17 tutorial
2.8K views • 7 years ago
36:39
Toward Efficient Deep Neural Network Deployment: Deep Compression and EIE, Song Han
16K views • 7 years ago
17:39
EIE: Efficient Inference Engine on Compressed Deep Neural Network
3.7K views • 7 years ago
21:22
ICLR 2016 Best Paper Award: Deep Compression by Song Han
7K views • 8 years ago
33:32
Techniques for Efficient Implementation of Deep Neural Networks, Song Han @ Embedded vision summit
1.7K views • 8 years ago
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