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Maxime Jumelle Profile
Maxime Jumelle

@MaximeJumelle

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CTO & Co-Founder of @Blentai - Sharing knowledge on #machinelearning and #datascience

Paris, France
Joined August 2013
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@MaximeJumelle
Maxime Jumelle
5 years
Hello @Porkbun, we are experiencing major issues on DNS as some resolvers cannot succeed in name resolution. Any idea ? Thes ituation is the same since many hours. https://t.co/oS910RXTCc
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@Blentai
Blent.ai
7 years
$103 millions de levée de fonds (série E) pour @coursera, ce qui démontre une nouvelle fois le plein essor de l’éducation et de l’enseignement des nouvelles technologies pour tous https://t.co/THEear3zgq #data #learning #DataScience #IT
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@ylecun
Yann LeCun
7 years
I am extremely honored to be the recipient of the 2018 ACM A.M. Turing Award, and absolutely delighted to be sharing it with my friends and colleagues Geoffrey Hinton and Yoshua Bengio. NYT:...
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nytimes.com
For their work on neural networks, Geoffrey Hinton, Yann LeCun and Yoshua Bengio will share $1 million for what many consider the Nobel Prize of computing.
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@MaximeJumelle
Maxime Jumelle
7 years
Fortunately some brilliant researchers keep publishing their articles and their work freely.
@ylecun
Yann LeCun
7 years
The European commission contracted Elsevier to monitor open science in Europe. This is like putting the mafia in charge of monitoring the police and the justice system. Elsevier has historically done all it can to...
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@fchollet
François Chollet
8 years
Write the codebase you'd be happy to inherit from a complete stranger.
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@Accteam_Network
AccTeam Network
8 years
LA question : mais pourquoi les grands groupes font-ils appel aux freelance ? >> https://t.co/8tEE1ApGkW #freelance #consultant #informatique #Assurance #banque
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@ylecun
Yann LeCun
8 years
The real scandal: why do all illustrations of articles about AI have to be horrible clichés? At least they lost the bad habit of slapping a Terminator picture on every single article....
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medium.com
There’s been a lot of talk recently about whether or not AI research is in a bubble. Some people are worried that we’re approaching another…
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@ylecun
Yann LeCun
8 years
Training with large minibatches is bad for your health. More importantly, it's bad for your test error. Friends dont let friends use minibatches larger than 32.
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arxiv.org
Modern deep neural network training is typically based on mini-batch stochastic gradient optimization. While the use of large mini-batches increases the available computational parallelism, small...
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@GoogleAI
Google AI
8 years
Want to see how a Neural Network will finish your drawing? Check out the Sketch-RNN model demo at https://t.co/FyDAYvEFSs #AIExperiments
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@GoogleAI
Google AI
8 years
Announcing the Tensor2Tensor open-source system for training a wide variety of deep learning models in #TensorFlow
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@SyntaxNet
SyntaxNet
10 years
Announcing SyntaxNet: The World’s Most Accurate Parser Goes Open Source. https://t.co/u0RrBkMymT
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