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Current methods of deep learning

Méthodes actuelles de l'apprentissage profond

 

This module is the second part of the certificate "Neuron Networks and Deep Learning". The objective is to explore current methods of deep learning and ways to apply them in a business context.

 

OBJECTIVES

This course will give you :

  • In-depth knowledge of computer vision and neural networks
  • Robust skills with recurrent neural networks
  • Understanding the technical aspects of deep learning and its business application

 

CONTENT

  • icone équipe

    Day 1 : Convolutional neural networks

    What is a convolutional neural network? How to use them in computer vision and what are the business applications?

    The main concepts covered in this module are: convolutional neural networks, computer vision.

  • icone équipe

    Day 2 : Recurrent neural networks

    What is a recurrent neural network? How to use them and what are the business applications?

    The main concepts covered in this module are: recurrent neural networks and short-term and long-term memory.

  • icone équipe

    Day 3 : Conversational Artificial Intelligence

    Focus on automatic language processing and development of a chatbot in a business case.

    The main concepts covered in this module are: automatic language processing, chatbots and conversational artificial intelligence.

 

TRAINERS/TEACHERS

hadjur

Hugo Hadjur

Expertise : Data science

Assistant Professor in IA & Data Science | PhD student at ENS Lyon and aivancity

See his profile

Szabados

Levente Szabados

Expertise : Data science

Visiting Professor | Data science, Artificial Intelligence, Innovation Leadership, Natural Language Processing, IT System Engineering, Management, Consultancy, Personal Coaching

See his profile

Current methods of deep learning

 

  • access

    PrerequisitePrevious knowledge in data science and machine learning.

  • diplome

    Location Boulogne Billancourt

  • calendrier

    Duration of the training 4 days

  • calendrier

    DatesMay 13, 14, 27 and 28, 2022

  • calendrier

    Price€ 1950 (excluding tax)