
Advancing Autonomous Vehicle Development Using Distributed Deep Learning with Adrien Gaidon - TWiML Talk #269
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Advancements in Model Compression and Multitask Learning in Deep Learning
This chapter explores the latest advancements in model compression and multitask learning in deep learning, focusing on improving performance while maintaining computational efficiency. The discussion also touches on the potential of these techniques in self-driving technologies and large-scale deep learning applications.
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