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Alexandre de Brébisson – PhD student getting specialized in artificial neural networksPhD student getting specialized in artificial neural networks
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PhD student getting specialized in artificial neural networks
http://adbrebs.github.io/
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PhD student getting specialized in artificial neural networks
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Backpropagation simply explained – Blog of Alexandre de Brébisson
http://adbrebs.github.io/Backpropagation-simply-explained
PhD student getting specialized in artificial neural networks. Newcommand nn{ mathit{net} ). Where is the loss function such that measures the discrepancy between the desired output $ vec{y} {(i)}$ and the actual output computed by the neural network . Common loss functions are the square error (for regression) or the negative log-likelihood (for classification). The training is then cast into the minimisation of , which is usually carried out by a variant of the gradient descent algorithm. Note that the...
Gradient identities – Blog of Alexandre de Brébisson
http://adbrebs.github.io/Gradient-identities
PhD student getting specialized in artificial neural networks. In machine learning, it is common to manipulate vectors instead of scalars. This post lists a few identities, which can be helpful to quickly compute gradients over computational graphs. If you have a doubt, you should not hesitate to derive the scalar identities first and then generalize them to vectors. Let’s define the following functions:. With the following conventions for the gradients and jacobian matrices:. Written on April 11, 2015.
About – Blog of Alexandre de Brébisson
http://adbrebs.github.io/about
PhD student getting specialized in artificial neural networks. I am a second-year PhD student at the MILA lab in Montréal under the joint supervision of Professors Pascal Vincent and Yoshua Bengio. Before that, I studied at Imperial College (supervised by Professors Murray Shanahan, Giovanni Montana and Mauricio Barahona), Supélec and Ginette. The Z-loss: a shift and scale invariant classification loss belonging to the Spherical Family. Alexandre de Brébisson and Pascal Vincent,.
Dropout and model averaging – Blog of Alexandre de Brébisson
http://adbrebs.github.io/Dropout-model-averaging
PhD student getting specialized in artificial neural networks. Dropout and model averaging. A few results that are important to know about dropout. Difference between dropout and bagging:. Dropout is an approximation of model averaging for deep non-linear networks,. Bagging usually uses the arithmetic mean versus the geometric mean for dropout,. In dropout, all the models share the same parameters. Linear network: dropout is equivalent to mean-averaging,. Dropout performs as well as geometric averaging,.
How big is seven billion people? – Blog of Alexandre de Brébisson
http://adbrebs.github.io/How-many-are-seven-billion-people
PhD student getting specialized in artificial neural networks. How big is seven billion people? There are nearly 7 billion people on Earth. How much is that? Imagine that you want to shake one of their hands, to all of them, and that it takes one second to shake one hand. Then you would need more than 220 years to shake all these hands Without sleeping nor eating! By comparison, there are about 3 billion words on Wikipedia English. Reading of them would would take you around 30 years only!
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Étienne Simon's homepage: ~/résumé
http://www.esimon.eu/résumé.xhtml
26 place Jacques Carat. 33) 6 35 41 14 14. Étienne Simon esimon@esimon.eu. Http:/ www.esimon.eu. Master Mathematic Learning Vision (MVA). École Normale Supérieure (ENS) de Cachan. MSc) in Computer Science. Parisian Master of Research in Computer Science (MPRI). École Normale Supérieure (ENS) de Cachan. Normalien", first place. Master in Artificial Intelligence and Decision (IAD). BSc) in Computer Science. 3 terms) Pierre-et-Marie-Curie University (UPMC). 1 term) Queen Mary University of London (QMUL).
Étienne Simon's homepage: ~
http://www.hg.esimon.eu/index.xhtml
I'm a computer science student at. Master currently at Facebook AI Research Paris for my end of master internship. I'm currently looking for a PhD position, you can find my résumé here. Last month, I released an open-source implementation. Of Deep Mind's Hermann et al. paper. Teaching Machines to Read and Comprehend. Last year, during a stay in Montréal, I've won a Kaggle. Competition on taxi destination prediction. As part of team 🚕 with Alex Auvolat. And Alexandre de Brébisson.
Étienne Simon's homepage: ~
http://www.esimon.eu/index.xhtml
I'm a computer science student at. Master currently at Facebook AI Research Paris for my end of master internship. I'm currently looking for a PhD position, you can find my résumé here. Last month, I released an open-source implementation. Of Deep Mind's Hermann et al. paper. Teaching Machines to Read and Comprehend. Last year, during a stay in Montréal, I've won a Kaggle. Competition on taxi destination prediction. As part of team 🚕 with Alex Auvolat. And Alexandre de Brébisson.
Étienne Simon's homepage: ~/résumé
http://www.hg.esimon.eu/résumé.xhtml
26 place Jacques Carat. 33) 6 35 41 14 14. Étienne Simon esimon@esimon.eu. Http:/ www.esimon.eu. Master Mathematic Learning Vision (MVA). École Normale Supérieure (ENS) de Cachan. MSc) in Computer Science. Parisian Master of Research in Computer Science (MPRI). École Normale Supérieure (ENS) de Cachan. Normalien", first place. Master in Artificial Intelligence and Decision (IAD). BSc) in Computer Science. 3 terms) Pierre-et-Marie-Curie University (UPMC). 1 term) Queen Mary University of London (QMUL).
adnab.me: Activité récente
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Stage effectué à FAIR. Paris ConvNets et Forward Models pour améliorer un modèle de RL sur StarCraft. Rapport. Implémentation de CTC (fonction de coût pour la transduction séquence vers séquence) en Theano, pour le cours de modèles graphiques probabilistes. Code. Implémentation de “Teaching Machines to Read and Comprehend”. Code. Stage effectué au MILA. Clustering is Efficient for Approximate Maximum Inner Product Search. On a gagné un Kaggle! Prédiction de destination de taxis. Stage de fin de L3. Sans ...
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Alexandre de Brébisson – PhD student getting specialized in artificial neural networks
PhD student getting specialized in artificial neural networks. 11 Apr 2015 ». 06 Jan 2015 ». How big is seven billion people? 11 Sep 2014 ». Dropout and model averaging. 21 Mar 2014 ».
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