Formation Intelligence Artificielle pour l'Automobile

Code formation

aiauto

Durée

14 heures (généralement 2 jours pauses comprises)

Pré requis

The participants must have programming experience (any language) and engineering background, but are not required to write any code during the course.

Aperçu

Ce cours couvre l'IA (mettant l'accent sur l' Machine Learning et l' Deep Learning ) dans l'industrie Automotive . Cela aide à déterminer quelle technologie peut (potentiellement) être utilisée dans plusieurs situations de la voiture: de l'automatisation simple à la prise de décision autonome en passant par la reconnaissance d'images.

Machine Translated

Plan du cours

Current state of the technology

  • What is used
  • What may be potentially used

Rules based AI 

  • Simplifying decision

Machine Learning 

  • Classification
  • Clustering
  • Neural Networks
  • Types of Neural Networks
  • Presentation of working examples and discussion

Deep Learning

  • Basic vocabulary 
  • When to use Deep Learning, when not to
  • Estimating computational resources and cost
  • Very short theoretical background to Deep Neural Networks

Deep Learning in practice (mainly using TensorFlow)

  • Preparing Data
  • Choosing loss function
  • Choosing appropriate type on neural network
  • Accuracy vs speed and resources
  • Training neural network
  • Measuring efficiency and error

Sample usage

  • Anomaly detection
  • Image recognition
  • ADAS

 

 

 

 

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  • recruit local trainers and consultants

We offer:

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  • high-tech automation
  • continuously upgraded course catalogue and content
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