Level of Education
5 years of post-secondary education
ECTS
2 credits
Training Structure
College of Sciences
Number of hours
15h
Description
This course is an introduction to artificial intelligence for physicists. It aims to explore applications of deep learning using the TensorFlow and Keras libraries. It includes a presentation of examples of how deep learning is used in physics.
Objectives
By the end of this course unit, students will be able to:
- Using the TensorFlow and Keras libraries to address common challenges in the application of deep learning
- Discuss examples of situations that could benefit from the use of artificial intelligence in the field of physics
Mandatory Prerequisites
Master's in Physics (M1)
Scientific Programming with Python and NumPy
Knowledge Assessment
CCI
Course Outline
An Introduction to Artificial Intelligence and Deep Learning
Neural Networks
Using the TensorFlow and Keras Libraries
Applications to topics relevant to physics and image processing