Description
Master the fundamentals of computer vision and implement high-performance models for industrial use cases, from data preparation to deployment.
Learning Objectives
- Understand the fundamental principles of computer vision
- Manipulate digital images and extract relevant features
- Implement deep learning models (CNN, YOLO, segmentation)
- Leverage transfer learning for business cases
- Prepare and annotate image datasets
- Deploy a computer vision model in an industrial environment (edge)
Target Audience
Data Scientists
Machine Learning Engineers
AI Project Managers
Prerequisites
Strong Python skills
Knowledge of supervised machine learning
Understanding of deep learning concepts is recommended
Basic knowledge of libraries such as NumPy and Pandas
Program Outline
Informations
Duration
3 jour(s)
21h
Tarif
Sur demande
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