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. 

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Code: https://github.com/filipelauar/projects/blob/main/domain_adaptation_semi_supervised_learning_MNIST_pytorch.ipynb

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