Current methods of deep learning

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

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  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.

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  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.

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  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

Hugo Hadjur

Expertise : Data science

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

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Levente Szabados

Expertise : Data science

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

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