Introduction to neural networks

Program Overview

Introduction to Neural Networks

Overview

This module is the first part of the certificate “Neuron Networks and Deep Learning”. The objective is to discover the fundamentals of artificial neural networks, their theory and business applications.

Objectives

• The basic knowledge and business applications of artificial neural networks
• Understanding the technical aspects of deep learning
• Knowledge of the elements of a deep neural network and their relationships

Content

• Day 1: Artificial Neuron Networks
  • Fundamentals of artificial neural networks, their theory and business applications
  • The main concepts covered in this module are: the TensorFlow library, neural networks, propagation and backpropagation and the perceptron
• Day 2: Initialization, Regularization and Focusing
  • Focus on the technical aspects of deep learning and its role in business
  • The main concepts covered in this module are: initialization, regularization & optimizations, and selection of hyperparameters
• Day 3: Building an Artificial Neuron Network
  • How to build an artificial neural network model using the TensorFlow and Keras libraries to meet a business challenge
  • The main concepts covered in this module are: artificial neural networks, and TensorFlow and Keras libraries

Trainers/Teachers

• Doreid Ammar
  • Expertise: Data science
• Professor in Data science and Computer science | Academic Director

Program Details

• Prerequisites: Previous knowledge in data science and machine learning
• Location: Cachan
• Duration of the training: 4 days
• Dates: April 4 and 5 and April 18 and 19, 2023
• Price: € 1950 excluding VAT

Support for Individuals with Disabilities

• Our training programs are open to everyone. If you have specific needs, especially related to a disability, please do not hesitate to contact us. Our team is ready to welcome you and address your needs. Find the welcome guide and all the information about the support and assistance available for our students and participants with disabilities!

Program Outline

Outline:

• Day 1: Artificial Neuron Networks
• Fundamentals of artificial neural networks, their theory and business applications.
• Main concepts: TensorFlow library, neural networks, propagation and backpropagation, perceptron.
• Day 2: Initialization, Regularization and Focusing
• Focus on the technical aspects of deep learning and its role in business.
• Main concepts: initialization, regularization & optimizations, selection of hyperparameters.
• Day 3: Building an Artificial Neuron Network
• How to build an artificial neural network model using the TensorFlow and Keras libraries to meet a business challenge.
• Main concepts: artificial neural networks, TensorFlow and Keras libraries.

Teaching:

• Trainers/Teachers:
• Doreid Ammar, Professor in Data science and Computer science, Academic Director
• Ysens de France, Associate Professor of AI Law, Director of Foresight at the Sapiens Institute