Quiz: Foundations of Robotics - Managing the world complexity: from linear regression to deep learning.

This quiz is in the form of a jupyter notebook.

All required libraries are installed in your active python environment by the notebook, so this quiz has no prerequisite apart from jupyter and python.

If you do not have jupyter and python installed, we recommend simply installing Anaconda. Then, you can open jupyter notebook or jupyter lab from Anaconda Navigator.

From jupyter, open the quiz, which is the quiz.ipynb file, using python3.

You can then execute the provided code cells one by one.

In this version of the quiz, the answers are not provided.

Repository files:

git:

• .gitattributes: enables big files (NN weights) to be downloaded when cloning the repo
• .gitignore: ignores junk files on commits
• README.md: this file

quiz:

• quiz.ipynb: jupyter notebook containing the actual quiz, open this with jupyter

support material:

• coco.names: text file containing the names of the 80 classes present in the COCO dataset, on which the provided YOLO models have been trained
• street_image.jpg: example image used to test YOLO in the first part of the quiz
• yolov3-tiny.cfg: description of the architecture of a pre-trained tiny YOLO model
• yolov3-tiny.weights: weights of a pre-trained tiny YOLO model
• yolov3.cfg: description of the architecture of a pre-trained big YOLO model
• yolov3.weights: weights of a pre-trained big YOLO model