Introduction to neural networks
Paris , France
Tuition Fee
EUR 1,950
Per course
Start Date
Medium of studying
On campus
Duration
4.0 days
Program Facts
Program Details
Degree
Courses
Major
Artificial Intelligence | Computer Science | Data Science
Area of study
Information and Communication Technologies
Education type
On campus
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
EUR 1,950
About Program
Program Overview
This three-day program provides an introduction to artificial neural networks and deep learning, covering their fundamentals, business applications, and technical aspects. Participants will learn how to build an artificial neural network model using TensorFlow and Keras libraries to address business challenges. The program is led by experts in data science, computer science, and AI law.
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
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