Lecture 2 - Image classification

Teacher: Victor BOUTIN (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

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