Deep Learning for Self Driving Cars!

Ciao DeepLearners!

Come join us for our second Boston Deep Learning Meetup!

Our special guest is Lex Fridman from MIT and will talk about the various sub-problems of building a self driving car and how deep learning methods can help solve each one.

Sponsors and Acknowledgments:

Special thanks to Nataljia Ulemek from Rakuten:

http://rakuten.careers/ for hosting this meetup and to

Alex Benik from Battery: https://www.battery.com/ for providing Pizza and drinks!

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Speakers Bio:

Lex Fridman is a postdoc at MIT, working on computer vision and deep learning approaches in the context of self-driving cars with a human-in-the-loop. His work focuses on messy, large-scale, real-world data, with the goal of building intelligent systems that have real world impact. Lex received his BS, MS, and PhD from Drexel University where he worked on applications of machine learning, computer vision, and decision fusion techniques in a number of fields including robotics, active authentication, activity recognition, and optimal resource allocation on multi-commodity networks. Before joining MIT, Lex was at Google working on machine learning and decision fusion methods for large-scale behavior-based authentication.

If you have problem finding the place I have attached two streetview photos:

The entrance is below the 2 sign!

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