Image
Search
Menu
Close
Villejuif Campus
151 Maxime Gorki Boulevard, 94800 Villejuif
Nice Campus
4 Bd Carabacel, 06000 Nice
This training course is eligible
Prerequisites
Prior knowledge of data science and machine learning.
Upcoming school years
April 3, 4, 17, and 18 - July 10: exam date
Format
1,950 Euros excl.
Location
Villejuif Campus
17
Martial HENNIQUE
Admissions Manager
Certification
This module is the first part of the certificate "Neural Networks and Deep Learning" certificate. The objective is to discover the fundamentals of artificial neural networks, their theory, and their business applications.
This certification is valid for 5 years.
You can choose to prepare for the entire qualification gradually over time or have your additional skills recognized through the VAE (validation of acquired experience) process.
Info
Discover the program's assessment and teaching methods
Click here to find out more about the program's evaluation and teaching methods.
Performance indicators 2022 / 2023
Content updated on 19/11/2023
96%
Satisfaction rate
92%
Graduation rate
100%
Graduation rate
Objectives
This course will provide you with:
- 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.
Contents
Module 1
Artificial Neural 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.
Module 2
Initialization, Regularization, and Fine-Tuning
Focus on the technical aspects of deep learning and its role in business.
The main concepts covered in this module are: initialization, regularization & optimization, and hyperparameter selection.
Module 3
Building an Artificial Neural Network
How to build an artificial neural network model using the TensorFlow and Keras libraries to address a business challenge.
The main concepts covered in this module are: artificial neural networks, and the TensorFlow and Keras libraries.
