David Bertoin

David Bertoin

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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

Pages

Posts

Future Blog Post

less than 1 minute read

Published:

This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

organizations

Reinforcement Learning Virtual School

Published:

I was part of the 2021 Reinforcement Learning Virtual School’s organizers.
This edition was hosted by the Toulouse AI institute ANITI, with the support of IRT Saint Exupéry, ISAE-SUPAERO, LAAS-CNRS, Université Fédérale Toulouse Midi-Pyrénées.
It was officially sponsored by DeepMind.
We also thank Institut de Mathématiques de Toulouse - Université Toulouse III - Paul Sabatier, Toulouse School of Economics - Université Toulouse I - Capitole.
This virtual event took place in March and April 2021. It gathered 1500 registered participants from 43 different countries. All recordings and class materials that the speakers gave us permission to share can be found on this website.

portfolio

publications

talks

teaching

Teaching assistant Deep Learning

M.S level, University Paul Sabatier, Master MAPI3, 2019

Practical sessions of the Deep Learning course taught by Pr. François Malgouyres in the context of the Master MAPI3.
Subjects:

  • Backpropagation
  • Convolutional neural networks with keras
  • Transfer learningé
  • Autoencoders

Teaching assistant AI frameworks

M.S level, INSA Toulouse, GMM, 2020

I was teaching assistant for the AI frameworks course taught by Dr.Brendan Guillouet.
Class subjects:

  • Developpement tools for datascience
  • Inroduction to Natural Language Processing
  • Inroduction to Recommender Systems
  • Inroduction to Reinforcement Learning

AI frameworks

M.S level, INSA Toulouse, GMM, 2020

I’m teaching the AI frameworks course which covers various topics that students may encounter in their future professional careers.
Class subjects:

  • Developpement tools for datascience
  • Inroduction to Natural Language Processing
  • Inroduction to Recommender Systems
  • Inroduction to Reinforcement Learning
  • Interpretability in Machine Learning

AI technologies

M.S level, INSA-ENSEEIHT ModIA, 2021

I’m teaching the AI technologies course which covers various topics that students may encounter in their future professional careers.
Class subjects:

  • Developpement tools for datascience
  • Inroduction to Recommender Systems
  • Inroduction to Reinforcement Learning
  • Interpretability in Machine Learning