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title: "Vision, image and machine learning (partie AM)"
description: "Partie A. Meyer"

The foundations of Deep Learning for images

Image alt

Le Cours

  • CM1: Introduction to neural networks (forward and backpropagation)
  • CM2: Convolution Neural Networks (CNN)
  • CM3: the “modern” vision (Segmentation, Tracking (YOLO), AE, GAN)

Tutorials (TP)

  1. Installation
  2. A neural network from scratch. (Python, numpy)
  3. Classification
    1. 2D Point Classification. (Pytorch) (If you follow the Master's Course, do not do it, go to question 2)
    2. Image classification using Convolution Neural Networks. (CNN, Pytorch)
  4. Style transfer between images. (Pytorch)
  5. Gesture transfer and person image generation