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Deep Reinforcement Learning for Logistics at Instadeep with Karim Beguir - #302
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Transfer Learning for Computer Vision
There wouldn't be lots of intersection between, let's say, taking a bin packing model to ride sharing. But there would be between different bin packing problems or different ride sharing problems. We've been able to take models that were trained on 10 items and deploy them with almost no changes at all to larger sets of problems. That is better than other OR type algorithms.
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