Lecture 2 - Image classification

Teacher: Bastien LE LAN (ANITI)

Contents

• Motivation
• Framework for classification
  • Overview
  • Challenges
  • Pipeline
• Receptive field and convolutions
• Quick intro to Visual Transformers
• Datasets
• Models of classification

Notes

Link to slide

Tutorial Notebook

Train MNIST

---

(Back to Main Page)