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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Scaling Deep Learning for Autonomous Vehicles
This chapter explores the complexities of scaling deep learning experiments in organizations, particularly within smaller research teams. It discusses hyperparameter optimization methods, data storage solutions, and the collaborative efforts required for improving real-time applications in autonomous vehicle development.
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