Hands-on Workshop: Methods for Data Selection in Autonomous Vehicles

This is a handson lecture by a passionate community member who has a lot of experience with data and algorithms for self-driving cars.

Talk abstract:

When you train a neural network the most important thing is the data you train on. In this workshop I will go over several methods of active learning to select a better dataset to train your neural network on. At the end of the session I will also talk about the labeling process and the importance of the quality of your labels. The workshop will be very hands on, and at the end of the hour you will have several Jupyter Notebooks you can use in your own data selection pipeline.

This is a two part event - the first part is a talk, afterwards there is a 10 minute break and the second part is a hands-on session.

Jupyter notebooks we will use during the workshop: https://github.com/rmeertens/Data_selection_workshop

Presenter BIO:

Roland Meertens is product manager at Annotell, and specialises in robotics projects. He set up machine learning projects all the way from sensor selection, data collection and labelling to deploying the model in production. Please approach him to talk about deep learning and neural networks.

You can find Roland at: https://www.linkedin.com/in/rmeertens/

** ** Please register through the zoom link right after your RSVP. We will send the links to the zoom event via email only to those who have registered through zoom. ** **

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