Teaching

Course resources, labs (TPs), and notebooks

Master IASD (Apprenticeship) — Université Paris-Dauphine – PSL

Course: Deep Learning for Image Analysis

2025–2026 Computer Vision
Resources
Reference Books
Dive into Deep Learning 1.0.3 - ASTON ZHANG
Book (PDF)
Computer Vision : Algorithms and Applications — Richard Szeliski (2010)
Book (PDF)
Lectures
Lecture 1 — Computer Vision Foundations
Slides (PDF)
Lecture 2-Part 1 — Convolutional Neural Networks
Slides (PDF)
Lecture 2-Part 2 — CNNs Architectures
Slides (PDF)
Lecture 3 — Transfer Learning
Slides (PDF)
Lecture 4 — Vision Transformers
Slides (PDF)
Lecture 5 — Object Detection
Slides (PDF)
Lecture 6 — Segmentation
Slides (PDF)
Labs
Lab 1
Notebook + instructions (ZIP)
Lab 2
Notebook + instructions (ZIP)
Lab 3
Notebook + instructions (ZIP)
Lab 4
Github Repository
Lab 5
Notebook + instructions (ZIP)
Lab 6
Notebook + instructions (ZIP)
Lab 7
Notebook + instructions (ZIP)
Lab 8
Notebook + instructions (ZIP)
Solutions
Lab 1 — Solutions