Day01
Vision fundamentals
Morning
Convolutions, pooling, activation and the structure of a CNN.
Afternoon
Building a first image classification model.
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Intensive course · 35 hours
Computer Vision
with Deep Learning.
Learn to analyse images, train CNN models, detect objects, segment regions and deploy computer vision solutions with TensorFlow and PyTorch.
05d
Intensive days
35 hours
35 hours
Project
A complete
CV model
CV model
100%
CNN · YOLO ·
Segmentation
Segmentation
— Programme
5 days to master Computer Vision
Day02
Classification & Transfer Learning
Morning
Classic architectures (VGG, ResNet) and Transfer Learning.
Afternoon
Data augmentation and model optimisation.
Day03
Object detection
Morning
Detection concepts, YOLOv8 and SSD models.
Afternoon
Training and evaluating object detectors.
Day04
Segmentation & advanced applications
Morning
Semantic and instance segmentation (U-Net, Mask R-CNN).
Afternoon
Face recognition, OCR and industrial use cases.
Day05
Final project & deployment
Morning
Complete Computer Vision project (classification, detection or segmentation).
Afternoon
Presentation, expert feedback and an introduction to deployment.
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