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