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Notes and Project Materials of the course

License: MIT License

Jupyter Notebook 99.95% Python 0.05%
computer-vision deep-learning self-driving-car lane-lines udacity

self-driving-car-nanodegree's Introduction

Self-Driving-Car-NanoDegree

Udacity's Self-Driving Car Nanodegree project files and notes.

This repository contains project files and lecture notes for Udacity's Self-Driving Car Engineer Nanodegree program which I started working on on 25 May, 2017.

The Self-Driving Car Engineer is an online certification intended to prepare students to become self-driving car engineers. The program was developed by Udacity in partnership with Mercedes-Benz, NVIDIA, Otto, DiDi, BMW, McLaren and NextEv.

Program Outline:

Term 1: Deep Learning and Computer Vision

1. Deep Learning

  • deep-learning-notes-and-labs: Notes on Deep Learning, Tensorflow and Keras
  • Project 2: Traffic Sign Classifier (Deep Learning)
  • Project 3: Behavioural Cloning (Deep Learning)
    • Train a car to drive in a 3D simulator using a deep neural network.
    • Input data comprises steering angles and camera images captured by driving with a keyboard / mouse / joystick in the simulator.

2. Computer Vision

  • computer-vision-notes-and-labs: Notes on Computer Vision
  • Project 1: Finding Lane Lines (Intro to Computer Vision)
  • Project 4: Advanced Lane Lines (Computer Vision)
  • Project 5: Vehicle Detection (Computer Vision)

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