24 citations · 65 across the 8 of their papers we have counts for
3 papers · 1 filter
Deep Belief Network Training Improvement Using Elite Samples Minimizing Free Energy
Mohammad Ali Keyvanrad, Mohammad Mehdi Homayounpour
Nowadays this is very popular to use deep architectures in machine learning. Deep Belief Networks (DBNs) are deep architectures that use stack of Restricted Boltzmann Machines (RBM…
A brief survey on deep belief networks and introducing a new object oriented toolbox (DeeBNet)
Mohammad Ali Keyvanrad, Mohammad Mehdi Homayounpour
Nowadays, this is very popular to use the deep architectures in machine learning. Deep Belief Networks (DBNs) are deep architectures that use stack of Restricted Boltzmann Machines…
Deep Belief Networks for Image Denoising
Mohammad Ali Keyvanrad, Mohammad Pezeshki, Mohammad Ali Homayounpour
Deep Belief Networks which are hierarchical generative models are effective tools for feature representation and extraction. Furthermore, DBNs can be used in numerous aspects of Ma…