Deep Learning

Topic outline

• 

  General

  • Forum des nouvelles
• 

  Supports

  • • DNN et GAN
      • animation
      • CM01-DEEP.pdf
      • CM02-GAN.pdf
      • Cours-DEEPSID.beamer2x2.pdf
      • Cours-DEEPSID.beamer3x3.pdf
      • Cours-DEEPSID.pdf

    Download folder
  • RNN, etc. 2021 File
  • 2022-01-19 CM1 File
  • Tuto CRIANN File
• 

  TP

  • Installation

    Installation via conda pour linux

    $ conda create --name tensorflowwork
    $ conda activate tensorflowwork
    $ conda install numpy scipy matplotlib scikit-learn pandas scikit-image pillow cvxpy cvxopt pykalman h5py scons notebook nbconvert autopep8 tensorflow
    

    Installation via conda pour mac

    $ conda create --name tensorflowm1
    $ conda activate tensorflowm1
    $ conda install -c apple tensorflow-deps
    $ export GRPC_PYTHON_BUILD_SYSTEM_OPENSSL=1
    $ export GRPC_PYTHON_BUILD_SYSTEM_ZLIB=1
    $ python -m pip install tensorflow-macos
    $ python -m pip install tensorflow-metal
    $ conda install numpy scipy matplotlib scikit-learn pandas scikit-image pillow cvxpy cvxopt pykalman h5py scons notebook nbconvert autopep8
    

    Environnement par défaut

    Si vous ne voulez pas que l'environnement de base de conda soit chargé automatiquement par le shell:

    conda config --set auto_activate_base false
    

  • • Sujets Notebook
      • TP00-IntroductionToNumPy.etu.ipynb
      • TP01-IntroductionToTensorflow.etu.ipynb
      • TP02-LinearRegression.etu.ipynb
      • TP03-LogisticRegression.etu.ipynb
      • TP04-MultiLayerPerceptron.etu.ipynb
      • TP05-IntroductionToKeras.etu.ipynb
      • TP06-MNIST.etu.ipynb
      • TP07-MNIST-DNN.etu.ipynb
      • TP08-MNIST-CNN.etu.ipynb
      • TP09-MNIST-AE.etu.ipynb
      • TP10-MNIST-multitask.etu.ipynb
      • TP99-MNIST-GAN.etu.ipynb

    Download folder
  • • Sujets PDF
      • TP00-IntroductionToNumPy.etu.pdf
      • TP01-IntroductionToTensorflow.etu.pdf
      • TP02-LinearRegression.etu.pdf
      • TP03-LogisticRegression.etu.pdf
      • TP04-MultiLayerPerceptron.etu.pdf
      • TP05-IntroductionToKeras.etu.pdf
      • TP06-MNIST.etu.pdf
      • TP07-MNIST-DNN.etu.pdf
      • TP08-MNIST-CNN.etu.pdf
      • TP09-MNIST-AE.etu.pdf
      • TP10-MNIST-multitask.etu.pdf
      • TP99-MNIST-GAN.etu.pdf

    Download folder
  • • Corrections TP
• 

  Projets

  Projects 2021 :  You will participate to machine learning reproducibility challenge 2021 : https://paperswithcode.com/rc2021

  Most conference proceedings can be found by searching the name of the conference + "proceedings" 

  For example, papers from ICCV and CVPR can be found here : https://openaccess.thecvf.com/menu

  
  

  Please complete the following spreadsheet to indicate your chosen paper : https://docs.google.com/spreadsheets/d/1EfH_a7b06_cbb24xJtdHL2ejt2pb1MGnKG3bY32no-M/edit?usp=sharing

  • dépot projet 2022 Assignment
• 

  TP Forêts

  • TP 2 Assignment
  • TP 3 Assignment