14 search results - page 1 / 3 » A multi-FPGA architecture for stochastic Restricted Boltzman... |
FPL
2009
Springer
13 years 9 months ago
2009
Springer
Although there are many neural network FPGA architectures, there is no framework for designing large, high-performance neural networks suitable for the real world. In this paper, ...
JMLR
2010
12 years 11 months ago
2010
In this paper, we consider the asymptotic form of the generalization error for the restricted Boltzmann machine in Bayesian estimation. It has been shown that obtaining the maximu...
ICML
2010
IEEE
13 years 5 months ago
2010
IEEE
Restricted Boltzmann machines were developed using binary stochastic hidden units. These can be generalized by replacing each binary unit by an infinite number of copies that all ...
FPGA
2009
ACM
13 years 11 months ago
2009
ACM
Despite the popularity and success of neural networks in research, the number of resulting commercial or industrial applications have been limited. A primary cause of this lack of...
JMLR
2010
12 years 11 months ago
2010
Recent research has seen the proposal of several new inductive principles designed specifically to avoid the problems associated with maximum likelihood learning in models with in...