Introduction to Artificial Intelligence for Physics

This teaching unit is an introduction to artificial intelligence for physicists. It aims at discovering uses of deep learning using the TensorFlow and Keras libraries. It includes a presentation of examples of use for physics.

Upon completion of this UE, students will be able to:

• Manipulate the TensorFlow and Keras libraries to address classical problems in the use of deep learning
• Address examples of situations that can benefit from the use of artificial intelligence in the field of physics

M1 in Physics

Scientific programming with Python and NumPy

CCI

Presentation of Artificial Intelligence and Deep Learning

Neural networks

Using the TensorFlow and Keras libraries

Application to useful topics for physics, image processing