DeepLearning-MIT ✅

Deep Learning for Self-Driving Cars - winter 2017 [ Course Website ]

This class is an introduction to the practice of deep learning through the applied theme of building a self-driving car. It is open to beginners and is designed for those who are new to machine learning, but it can also benefit advanced researchers in the field looking for a practical overview of deep learning methods and their application.

Week1

• Introduction to Deep Learning and Self-Driving Cars [ video ]

Week2

• Deep Reinforcement Learning for Motion Planning [ video ]

Week3

• Convolutional Neural Networks for End-to-End Learning of the Driving Task [ video ]

Week4

• Recurrent Neural Networks for Steering through Time [ video ]

Week5

• Deep Learning for Human-Centered Semi-Autonomous Vehicles [ video ]

Taught by:

Lex Fridman - Postdoc at MIT

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Difficulty 🌕🌕🌕🌕🌕🌕🌑🌑🌑🌑

Created By Bilal Cagiran | E-Mail | Github | LinkedIn | CodePen | Blog/Site | FreeCodeCamp