Introduction to neural networks

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

This course will give you :

• 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

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  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.

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  Day 2: Initialization, Regularization and Focusing

  Focus sur la partie technique de l’apprentissage profond et son rôle appliqué au 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

See his profile

Ysens de France

Expertise : AI Law

Associate Professor of AI Law | Director of Foresight at the Sapiens Institute

See her profile