Deep Learning for Robotics from the Ros constructs
The course is organized into five chapters:
Chapter 1: Introduction
Chapter 2: Deep Learning Basics, where you'll learn the basic structure of a NN.
Chapter 3: Hyperparameter Tuning, where you'll learn the basic parameters that rule a NN.
Chapter 4: Convolutional neural networks, where you'll learn to apply convolutions to images.
Chapter 5: A challenge project where you'll apply the previous concepts and simulate a maze environment where the TurtleBot identifies traffic signs.
cd ~/catkin_ws/src/
git clone https://bitbucket.org/theconstructcore/dlrepo.git
python3 ~/catkin_ws/src/dlrepo/dl_exercises/demo.py
