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Emmanuel Bengio

Computer Science B.Sc. from the DIRO. At Université de Montréal. Computer Science Masters from the McGill SOCS. Under the supervision of Joelle Pineau. Was on conditional computation. Currently PhD student at the Reasoning and Learning Lab. Under the supervision of Joelle Pineau. I'm mainly interested in. And mixing both,. Design and implementation, programming. Reach me on gmail, my username is bengioe. Here is my curriculum vitae. Conditional Computation in Neural Networks for faster models. The first ...

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Emmanuel Bengio | folinoid.com Reviews

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Computer Science B.Sc. from the DIRO. At Université de Montréal. Computer Science Masters from the McGill SOCS. Under the supervision of Joelle Pineau. Was on conditional computation. Currently PhD student at the Reasoning and Learning Lab. Under the supervision of Joelle Pineau. I'm mainly interested in. And mixing both,. Design and implementation, programming. Reach me on gmail, my username is bengioe. Here is my curriculum vitae. Conditional Computation in Neural Networks for faster models. The first ...

<META> KEYWORDS

1 emmanuel bengio

2 programmer

3 scientist

4 musician

5 and doina precup

6 my thesis

7 in mcgill

8 machine learning

9 especially deep learning

10 and reinforcement learning

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emmanuel bengio,programmer,scientist,musician,and doina precup,my thesis,in mcgill,machine learning,especially deep learning,and reinforcement learning,compiler,as a topic,research and writings,github code,youtube,writings,code and stuff,theano tools,rush

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Emmanuel Bengio | folinoid.com Reviews

https://folinoid.com

Computer Science B.Sc. from the DIRO. At Université de Montréal. Computer Science Masters from the McGill SOCS. Under the supervision of Joelle Pineau. Was on conditional computation. Currently PhD student at the Reasoning and Learning Lab. Under the supervision of Joelle Pineau. I'm mainly interested in. And mixing both,. Design and implementation, programming. Reach me on gmail, my username is bengioe. Here is my curriculum vitae. Conditional Computation in Neural Networks for faster models. The first ...

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folinoid.com

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onWeightInitializationOfDeepNets

http://folinoid.com/w/onWeightInitializationOfDeepNets.html

On weight initialization of deep nets. I will illustrate here the computations made in Glorot et al.(2010) and He et al.(2015), hopefully in a clear and simple way. Any suggestions and additonal references are welcome! I will try to use simple and detailed math. Again suggestions and clarifications are welcome. All integrals are done in Wolfram Alpha, as I am skeptical of my own integration skills, and would not want to claim falsehoods. W {l,ij} sim mathcal{W} l$ is the sampled weight at layer $l$,.

2

IFT4055

http://folinoid.com/ccae

Développement de modèles autoencodeurs à composantes continues. Les modèles autoencodeurs sont des modèles de réseaux de neurones artificiels qui permettent d'appendre des représentations utiles de manière non-supervisée. Le travail à réaliser pour ce projet consistera à conceptualiser, implémenter puis entrainer de nouvelles architectures de réseaux de neurones autoencodeurs qui favorisent de par leur structure, leur paramètres et leurs fonctions d'activation, l'utilisation "automatique" de composantes ...

3

Theano: a short practical guide

http://folinoid.com/show/theano

A short practical guide. A pdf of the slides. What you really do:. Graphs of computation (w/ input nodes). Automatically compute gradients through it. Gradient = T.grad(cost, parameter). Ops in 1 slide. Ops are the building blocks of the computation graph. A computation (given inputs). A partial gradient (given inputs and output gradients). C/CUDA code that does the computation. X y f = theano.function([x,y],z) f(2,8). A 5 line Neural Network (evaluator). A parenthesis about The Graph. And a call to.

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Reasoning and Learning Lab

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Prof Jackie Chi Kit Cheung. Charles C. Onu. Postdoc at Princeton Neuroscience Institute. Assistant Professor of statistics at HEC Montréal. PhD student at Brown University. Bénédicte Leonard-Cannon. Software Engineer at Microsoft. Software Engineer at Google Montreal. Lecturer at Lancaster University. Researcher at Maluuba, Montreal. Software Engineer at Facebook Seattle. Software Engineer at Google X. Data Scientist at Via Science, Montreal. Software Engineer at Microsoft Seattle. PhD student at MIT.

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Emmanuel Bengio

Computer Science B.Sc. from the DIRO. At Université de Montréal. Computer Science Masters from the McGill SOCS. Under the supervision of Joelle Pineau. Was on conditional computation. Currently PhD student at the Reasoning and Learning Lab. Under the supervision of Joelle Pineau. I'm mainly interested in. And mixing both,. Design and implementation, programming. Reach me on gmail, my username is bengioe. Here is my curriculum vitae. Conditional Computation in Neural Networks for faster models. The first ...

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