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This project is about training a deep neural network to identify and track a target in simulation so-called “follow me”. Applications like this are key to many fields of robotics and the very same techniques you apply here can be extended to scenarios like advanced cruise control in autonomous vehicles or human-robot collaboration in industry.

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Deep Learning Drone Simulator

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This Udacity clone project is to learn how to build a neural network and how all the individual pieces function together to form a powerful decision-making drone machine.

TensorFlow which is a robust software framework developed by Google to facilitate building deep neural networks is used to abstract away many of the finer details and make life easier are used in this project. However, it is important to have a firm grasp of the fundamentals to understand the choices needed to make in setting various parameters or how to improve the performance of the neural network.

Wiki Content

  1. What is Deep Learning?
  2. Segmentation Network Implementation and Architecture
  3. Setup Instructions
  4. Data Collection
  5. Results, Limitations and Future Enhancements
  6. Testing in Simulation

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This project is about training a deep neural network to identify and track a target in simulation so-called “follow me”. Applications like this are key to many fields of robotics and the very same techniques you apply here can be extended to scenarios like advanced cruise control in autonomous vehicles or human-robot collaboration in industry.

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