• Study level

    BAC +5

  • ECTS

    2 credits

  • Component

    Faculty of Science

  • Hourly volume

    15h

Description

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

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Objectives

On completion of this course, students will be able to :

  • Manipulate the TensorFlow and Keras libraries to tackle classic deep learning problems
  • Discuss examples of situations that can benefit from the use of artificial intelligence in the field of physics.

 

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Necessary prerequisites

M1 Physics

Scientific programming with Python and NumPy

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Knowledge control

Syllabus

Introducing Artificial Intelligence and Deep Learning

Neural networks

Using the TensorFlow and Keras libraries

Applications in physics and image processing

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