2021

:fr: AlphaGo : Résoudre le jeu de Go avec l’apprentissage automatique :octocat: :arrow_forward:

2020

:fr: Faisons connaissance avec les Transformeurs :octocat: :arrow_forward:

2019

:uk: Understand your code with Machine Learning on Source Code :octocat:

:fr: Overton, le ML goût pomme :octocat: :arrow_forward: (:uk: English version :octocat: :arrow_forward:)

:uk: Tech & Environmental Collapse :octocat: :arrow_forward:

:uk: Machine Learning for Large Scale Code Analysis :octocat: :arrow_forward:

:fr: Ivre, il pratiquait le ML sans recul :octocat: :arrow_forward:

2018

:uk: Bootstrapping Machine Learning on Code with ideas from NLP :octocat: :arrow_forward:

:fr: Vue d’ensemble des enjeux du Machine Learning

2017

:fr: The Deep Learning Codelab :octocat:

:fr: Generial Adversarial Networks, un nouveau paradigme pour l’entraînement d’ANN :octocat: :arrow_forward:

2016

:fr: Intelligence artificielle : comment Google a battu l’un des meilleurs joueurs de Go :octocat: :arrow_forward: :movie_camera:

:fr: Solving Go with Machine Learning :octocat: :arrow_forward: :movie_camera:

:fr: Neural Programming :octocat: :arrow_forward:

2015

:fr: La régression linéaire & la régression logistique :octocat:

:fr: Sequence to Sequence Learning with Neural Networks :octocat: :arrow_forward: