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Behavioral Cloning using Deep Learning, done as a part of Udacity Self Driving Car Nanodegree Program
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Behaviorial Cloning Project

Udacity - Self-Driving Car NanoDegree

The Project

The goals / steps of this project are the following:

  • Use the simulator to collect data of good driving behavior
  • Build, a convolution neural network in Keras that predicts steering angles from images
  • Train and validate the model with a training and validation set
  • Test that the model successfully drives around track one without leaving the road.

Project Approach and Results

Project Set Up

  1. Download the Udacity car simulator

  2. Set up the CarND Term1 Starter Kit.

  3. Download the project.

  4. Start the simulator.

  5. Next, run the command

python model.h5

(be sure you've activated your Python 3 carnd-term1 environment as described in the CarND Term1 Starter Kit installation instructions!)

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