Bonjour à tous,
Vous êtes invité à assister à la présentation d'examen prédoc de *Li Yao* qui aura lieu demain.
Titre: *Deep Learning and its Applications* Lieu/Date: *mardi 10 septembre, 16h, local 3195 (AA)* Résumé:
I will firstly discuss an application of machine learning in video games. In particular, a deep multi-layer neural network is trained to predict the results of a first-person shooting game, compared with other types of models such as linear regression and trees. This predictor is used in a match-making system to organize players into different teams.
In the second part, I will discuss a new probabilistic interpretation of denoising autoencoders. This new interpretation uses Markov chain Monte Carlo sampling to approximate the underlying data generating distribution and has been proved both theoretically and experimentally to work well. It is viewed as a special case of a Generative Stochastic Network.
For the future work, I will discuss some possible extension to the current Generative Stochastic Networks models. One improvement could be to use a multimodal reconstruction distribution that would potentially lead to better samples. I will also discuss briefly how to use these unsupervised trained models in the classification tasks.