Level of education
Master's degree
ECTS
2 credits
Training structure
Faculty of Science
Hours per week
15h
Description
This teaching unit is an introduction to artificial intelligence for physicists. It aims to explore uses of deep learning using the TensorFlow and Keras libraries. It includes a presentation of examples of use in physics.
Objectives
Upon completion of this course unit, students will be able to:
- Manipulating TensorFlow and Keras libraries to address classic problems in deep learning applications
- Discuss examples of situations that can benefit from the use of artificial intelligence in the field of physics.
Mandatory prerequisites
Master's degree in Physics
Scientific programming with Python and NumPy
Knowledge assessment
CCI
Syllabus
Introduction to Artificial Intelligence and Deep Learning
Neural networks
Using the TensorFlow and Keras libraries
Application to topics useful for physics, image processing