#31 - How to make autonomous vehicles drive in different places? Understanding domain adaptation and semi-supervised learning.

from Life with AI · host Filipe Lauar

Hey guys, in this episode I explain how an autonomous vehicle can learn to drive in a specific city and be able to generalize the driving knowledge to any other city. To explain it, I show the concept of of semi-supervised learning and domain adaptation. I explain the the ideia with the first proposed architecture and what we have today as state of the art for this problem.  Instagram: https://www.instagram.com/podcast.lifewithai/  Linkedin: https://www.linkedin.com/company/life-with-ai  Code: https://github.com/filipelauar/projects/blob/main/domain_adaptation_semi_supervised_learning_MNIST_pytorch.ipynb

What this episode covers

Hey guys, in this episode I explain how an autonomous vehicle can learn to drive in a specific city and be able to generalize the driving knowledge to any other city. To explain it, I show the concept of of semi-supervised learning and domain adaptation. I explain the the ideia with the first proposed architecture and what we have today as state of the art for this problem. Instagram: https://www.instagram.com/podcast.lifewithai/ Linkedin: https://www.linkedin.com/company/life-with-ai Code: https://github.com/filipelauar/projects/blob/main/domain_adaptation_semi_supervised_learning_MNIST_pytorch.ipynb

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#31 - How to make autonomous vehicles drive in different places? Understanding domain adaptation and semi-supervised learning.

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This episode was published on December 30, 2021.

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