Artificial Intelligence - Deep Learning in Practice (4-024)

General objective of the training: Provide practical expertise in using Deep Learning techniques to solve real-world problems while addressing key concepts and technical challenges. Modality: All modalities (in-person, virtual classroom, and hybrid) are possible. Possible locations: Beneficiary's premises or Ascent Formation's premises, in metropolitan France and the DROM-COM. Maximum number of participants: 20 Targeted SAME level: Application (A) Targeted skills: - Identify the evolution and reasons for the success of Deep Learning. - Master the use of TensorFlow, PyTorch, and Keras libraries. - Understand and resolve constraints related to model design and training. - Apply Deep Learning concepts to concrete cases from various sectors.

• Understand the evolution of neural networks and the reasons behind the current success of Deep Learning.
• Use the most popular Deep Learning libraries.
• Understand design principles, diagnostic tools, and the effects of different constraints and levers.
• Gain practical experience on multiple real-world problems.