Deep Learning for Self-Driving Cars by Lex Fridman

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Deep Learning for Self-Driving Cars ( latest version 2018 ).It’s an introduction to the practice of deep learning through the applied theme of building a self-driving car.

Instructors are working on devoloping cars that understand environment inside and outside the car.

Terminologies used in the lecture:

  • DL = NN (Deep Learning = Neural Nets).
  • DL is a subset of ML (Machine Learning).
  • MLP: Multi layer Perceptron.
  • DNN: Deep Neural Networks.
  • RNN: Recurrent Neural Networks.
  • LSTM: Long Short Term Memory.
  • CNN: Convolutinal Neural Networks.
  • DBN: Deep Belief Networks.

Lex Fridman Profile ::
I’m a postdoc at MIT, working on deep learning in the context of semi-autonomous vehicles, driver state sensing, scene perception, motion control and planning.


Written by Srikanth

Passionate Tech Blogger on Emerging Technologies, which brings revolutionary changes to the People life.., Interested to explore latest Gadgets, Saas Programs

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