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backpropagation - definition and meaning
Definitions
from The American Heritage® Dictionary of the English Language, 5th Edition.
noun
from Wiktionary , Creative Commons Attribution/Share-Alike License.
noun computing An error correction technique used in neural networks noun neurology A phenomenon in which the action potential of a neuron creates a voltage spike both at the end of the axon , as normally, and also back through to the dendrites from which much of the original input current originated.
Etymologies
from Wiktionary, Creative Commons Attribution/Share-Alike License
back + propagation
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Examples
There are several algorithms used in neural networks, one of them is backpropagation , which is the one I used.
SQLServerCentral.com Articles 2009
Connectionist learning techniques such as backpropagation are far from explaining this kind of ˜one shot™ learning.
Connectionism Garson, James 2007
One of the most widely used of these training methods is called backpropagation .
Connectionism Garson, James 2007
Success with backpropagation and other connectionist learning methods may depend on quite subtle adjustment of the algorithm and the training set.
Connectionism Garson, James 2007
Furthermore, it is far from clear that the brain contains the kind of reverse connections that would be needed if the brain were to learn by a process like backpropagation , and the immense number of repetitions needed for such training methods seems far from realistic.
Connectionism Garson, James 2007
“We need diversity, symbiosis, backpropagation and emergence.”
Food for thought 2004
Good results are often observed empirically by applying backpropagation for nonlinear architectures, with the danger of local minima understood.
Machine Learning (Theory) 2010
DBN in an unsupervised manner and fine tuned it with backpropagation .
Planet Lisp 2010
Also the part about neural networks is simplistic, to say the least: what about the learning model and backpropagation ?
reddit.com: what's new online! 2009
Basically, what the backpropagation algorithm does is to propagate backwards the error obtained in the output layer while comparing the calculated value in the nodes to the real or desired value.
SQLServerCentral.com Articles 2009
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