Artificial intelligence

Objectives
The main objective of this module is to provide an introduction to Artificial Intelligence through one of its major components, Machine Learning (ML), and more specifically Learning Neural Networks. The main classes of problems addressed by ML are discussed, with their principles, tools and limits of use, in the field of engineering. The programming, training and operation of neural networks are illustrated from a practical point of view by programming in the Python language with the tensorflow and keras modules.

Skills acquired at master's level

Have a global systemic approach

Knowledge of the Python language for data processing and curve plotting using the numpy and matplotlib modules.

Contents
The module comprises two 1h20 lecture sessions and 4 3h practical sessions.
The practical part of the module is structured around two sequences, preferably carried out on students' laptops:

Discovery of Machine Learning: programming, training and evaluation of a neural network (dense then convolutional) dedicated to image recognition (handwritten digits).
Application to the context of aeronautical maintenance: design, training and evaluation of a specific neural network dedicated to the detection/classification of defects in data from an engine test bench.


Target learning outcomes:

Know the main classes of problems addressed by Machine Learning.
Explain how an artificial neuron works and the overall architecture of a neural network.
Build a dense or convolutional neural network using the tensorflow and keras Python modules.
Download, prepare and use a labeled data set to train a neural network.
Train a neural network and exploit precision and loss curves to limit overfitting.
Know how to exploit a trained network (by yourself or others) using a new data set.


Teaching method
Practical work is carried out in Python language, preferably on students' laptops. Teaching progress is based on a series of notebooks (IPython notebooks) with "holes" of increasing difficulty, to help students acquire the skills they are aiming for.

Maintenance of the future