Neuronal Networks and Deep Learning

Program Overview

This program provides an introduction to neural networks and deep learning methods, with a focus on their business applications. It covers key concepts such as neural networks, propagation, backpropagation, and hyperparameter selection. The program also explores current deep learning methods and their applications in computer vision and natural language processing. Additionally, it emphasizes the responsible deployment of deep learning-based solutions, considering interpretability and social and ethical implications.

Program Outline

Outline:

Module 1: Introduction to Neural Networks

• Fundamentals of artificial neural networks, their theory, and their business applications.
• Key concepts: neural networks, propagation and backpropagation, initialization, regularization and optimization, hyperparameter selection.

Module 2: Current Deep Learning Methods

• Exploration of current deep learning methods and their applications in a business context.
• Key concepts: convolutional neural networks, computer vision, recurrent neural networks, short-term and long-term memory.

Module 3: Responsible Deployment of Deep Learning

Teaching:

• Trainers/Teachers:
• Doreid Ammar: Data science, data mining, machine learning, artificial intelligence, the Internet of Things, computer networks.
• Ysens of France: AI law, terrestrial robotics, military robotics, dual application of technological innovation, international & European law applied to artificial intelligence.