Deep Learning, Machine Learning, Self Driving Cars, TensorFlow, Unsupervised Learning.
synthetic labelled data can be generated using powerful engines like Unity or with other methods. The problem is that the gap between the synthetic and real datasets leads to a network trained on synthetic data not generalizing well enough to the real world. What S+U learning suggests is that with