Computer Vision
Enroll
Deep Learning & Computer Vision
Convolutional neural networks, transfer learning with ResNet and EfficientNet, YOLO object detection, semantic segmentation and edge deployment.
Duration
4 days · 32 h
Location
Centre YoupTeck Mahdia
Audience
Professionals
Trainer
Ing. Karim Ben Youssef
Objectives
- Maîtriser l'architecture des CNN
- Implémenter le transfer learning avec ResNet et EfficientNet
- Entraîner des modèles de détection d'objets YOLO
- Déployer des modèles sur Raspberry Pi et NVIDIA Jetson
- Travailler sur GPU cloud (AWS SageMaker)
Programme
- Jour 1 : Réseaux de neurones, backpropagation, PyTorch
- Jour 2 : CNN, pooling, architectures classiques
- Jour 3 : Transfer learning, fine-tuning ResNet
- Jour 4 : YOLO, détection en temps réel, déploiement edge
Pricing
Three rates depending on your situation. The fee includes course materials and the completion certificate.
Working professional
850 DT
Student (minimum Bac+2)
451 DT
Graduate job seeker
323 DT
Upcoming dates
03/03/2027 → 06/03/2027
Centre YoupTeck Mahdia · 16 seat(s) left
Interested in this course?
Book your seat online, or request a quote to train several colleagues.
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