sample data for training neural networks for self-driving cars If I ask the question in the wrong forum, let me know, I will delete it. 
I want see sample data for training neural networks for self-driving cars. I understand that there will be geodata and image recognition.I can’t find on the Internet a real example of how neural networks are trained for unmanned vehicles.I'm still new, but this topic is interesting to me. Can anybody prompt resources where i can look at the data for learning this type of neural networks. 
 A: Are you looking for datasets for training autonomous driving cars? or are you looking for a tutorial/source of knowledge to learn how to train autonomous driving cars?
For datasets, the following 2 are free to download:
Berkeley dataset - 100,000 HD video sequences of over 1,100-hour driving experience across many different times in the day, weather conditions, and driving scenarios
BDD100K - I'm not sure if it isn't the same as the first one (no personal experience).
Nuscenes dataset - Full sensor data (multiple sensor types and positions). Their site also include a tutorial of how to use their dataset.
I'm sure you can find more in the following link:
50 Free Machine Learning Datasets: Self-Driving Cars
For knowledge/tutorial:
As I mentioned before, the last dataset contains a tutorial.
There is also the MIT tutorial.
You can also read DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving, it is a paper from ICCV2015 and they include their source code.
I'm sure there are many more sources.
