Loctin, Monsieur Florent (2014) Online Deep Learning for life-long acquisition of visual features PFE - Project Graduation, ENSTA.
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Abstract
This report deals with Deep Learning of visual features in the context of Developmental Robotics. It explores the construction of a deep architecture based on clustering. The goal is to incrementally extract and learn features from images in a fully unsupervised way. The algorithms which are presented, accelerated using parallel computing on GPGPU 1, are able to process a stream of images in real time. Experiments were conduced on the MNIST dataset.
| Item Type: | Thesis (PFE - Project Graduation) |
|---|---|
| Uncontrolled Keywords: | Robotique développementale, Deep Learning, apprentissage incrémental, clustering, algorithme des k-moyennes, caractéristiques visuelles, champs récepteurs, calcul parallèle |
| Subjects: | Information and Communication Sciences and Technologies |
| ID Code: | 6549 |
| Deposited By: | INVALID USER |
| Deposited On: | 24 mars 2015 12:39 |
| Dernière modification: | 24 mars 2015 12:39 |
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