Searching: "backpropagation" in the DMelt project

Search results in document titles:

  1. Java Java Example: neural_net_4.java [71%] Artificial Intelligence/neural net Simple backpropagation neural net
  2. Jython Jython Example: neural_net_symbols.py [57%] Artificial Intelligence/neural net Backpropagation neural net using text as input and output
  3. Jython Jython Example: neural_net_all.py [57%] Artificial Intelligence/neural net Backpropagation neural net (all steps). Create data and train.
  4. Jython Jython Example: neural_net_3.py [57%] Artificial Intelligence/neural net Backpropagation neural net (3): Read data and train it
  5. Jython Jython Example: neural_net_2.py [57%] Artificial Intelligence/neural net Backpropagation neural net (2): Create a neural network
  6. Jython Jython Example: neural_net_1.py [57%] Artificial Intelligence/neural net Backpropagation neural net (1): Create input data

Search results in document content:

  1. Java API Java API: org.encog.neural.networks.training.propagation.back package [100%] ..ning.propagation.back classes backpropagation..
  2. Java API Java API: org.neuroph.nnet.learning.BackPropagation class [38%] ..g.neuroph.nnet.learning class backpropagation java.lang.object org.neuroph...
  3. Java API Java API: org.neuroph.nnet.learning package [37%] ..g classes antihebbianlearning backpropagation binarydeltarule binaryhebbian..
  4. Java API Java API: org.encog.ml.factory.train.BackPropFactory class [32%] ..yextends object a factory for backpropagation training. constructor summary..
  5. Jython Jython example: neural_net_2.py [31%] ..al net | p | 1 | s.chekanov | backpropagation neural net (2): create a neur..
  6. Java API Java API: org.encog.neural.networks.training.propagation.resilient package [31%] ..yextends object a factory for backpropagation training. constructor summary..
  7. Java API Java API: jhpro.nnet package [26%]
  8. Java API Java API: org.neuroph.nnet.AutoencoderNetwork class [26%] ..rg.neuroph.core.neuralnetwork<backpropagation> org.neuroph.nnet.autoencoder..
  9. Jython Jython example: neural_net_3.py [25%] ..net | p | 1.0 | s.chekanov | backpropagation neural net (3): read data and..
  10. Java API Java API: org.encog.neural.networks.training.Momentum interface [25%] ..l known implementing classes: backpropagation, stochasticgradientdescent pu..
  11. Java API Java API: org.encog.neural.networks.training.Train interface [25%] ..l known implementing classes: backpropagation, manhattanpropagation, propag..
  12. Java API Java API: org.encog.neural.networks.training.propagation.back.Backpropagation class [25%] ..aining.propagation.back class backpropagation java.lang.object org.encog.ml..
  13. Java API Java API: org.encog.neural.networks.training.LearningRate interface [21%] ..l known implementing classes: backpropagation, basictrainsom, manhattanprop..
  14. Java API Java API: org.neuroph.nnet.MultiLayerPerceptron class [21%] ..rg.neuroph.core.neuralnetwork<backpropagation> org.neuroph.nnet.multilayerp..
  15. Java API Java API: org.neuroph.nnet.learning.LMS class [18%] ..able direct known subclasses: backpropagation, perceptronlearning, rbflearn..
  16. Jython Jython example: neural_net_1.py [18%] ..net | p | 1.0 | s.chekanov | backpropagation neural net (1): create input ..
  17. Java API Java API: org.encog.neural.networks.training.propagation.GradientWorkerOwner interface [18%] ..l known implementing classes: backpropagation, manhattanpropagation, propag..
  18. Java API Java API: org.encog.util.concurrency.MultiThreadable interface [18%] ..lasses: abstractprggenerator, backpropagation, basicea, concurrentjob, engi..
  19. Java API Java API: org.neuroph.nnet.learning.ConvolutionalBackpropagation class [18%] ..t.learning class convolutionalbackpropagation java.lang.object org.neuroph...
  20. Java API Java API: org.neuroph.nnet.learning.MomentumBackpropagation class [17%] ..h.nnet.learning class momentumbackpropagation java.lang.object org.neuroph...
  21. Java Java example: neural_net_4.java [16%] .. | 1.0 | s.chekanov | simple backpropagation neural net /* * demo of a b..
  22. Jython Jython example: neural_net_encog3.py [15%] ..perator. this example # uses backpropagation to train the neural network. ..
  23. Jython Jython example: neural_net_all.py [15%] ..net | p | 1.0 | s.chekanov | backpropagation neural net (all steps). creat..
  24. Java API Java API: org.encog.Test class [15%] ..r operator. this example uses backpropagation to train the neural network. ..
  25. Java API Java API: org.encog.neural.error.CrossEntropyErrorFunction class [15%] ..nction. this can be used with backpropagation to sometimes provide better p..
  26. Java API Java API: org.encog.neural.networks.training.BatchSize interface [15%] ..l known implementing classes: backpropagation, manhattanpropagation, propag..
  27. Java API Java API: org.joone.engine.FIRFilter class [15%] ..n is implemented the temporal backpropagation algorithm by eric a. wan, as ..
  28. Java API Java API: org.neuroph.nnet.learning.SigmoidDeltaRule class [15%] ..d compatibility, posibly with backpropagation which is the most used see al..
  29. Java API Java API: org.neuroph.nnet package [15%]
  30. Jython Jython example: neural_net_symbols.py [13%] ..net | p | 1.0 | s.chekanov | backpropagation neural net using text as inpu..
  31. Java API Java API: jhpro.nnet.BackpropagationNet class [12%] ..jhpro.nnet class backpropagationnet java.lang.object jhpro.nne..
  32. Java API Java API: jhpro.nnet.Pattern class [12%] ..lizable the pattern file of a backpropagation net contains the input and ta..
  33. Java API Java API: org.encog.neural.freeform.training.FreeformBackPropagation class [12%] ..eeform.training class freeformbackpropagation java.lang.object org.encog.ml..
  34. Java API Java API: org.neuroph.contrib.matrixmlp.MatrixMomentumBackpropagation class [12%] ..matrixmlp class matrixmomentumbackpropagation java.lang.object org.neuroph...
  35. Java API Java API: org.neuroph.nnet.ConvolutionalNetwork class [12%] ..re.neuralnetworkbackpropagation> org.neuroph.nnet.convolution..
  36. Wiki Wiki: http://jwork.org/wiki/DMelt:AI/1 Backpropagation Neural Net [12%] ..== backpropagation == this section devoted to on..
  37. Java API Java API: org.encog.util.benchmark.EncoderTrainingFactory class [10%] ..al study of learning speed in backpropagation networks" (fahlman,1988) it p..
  38. Java API Java API: org.neuroph.contrib.matrixmlp.MatrixMlpLayer class [10%] ..rix based layer optimized for backpropagation constructor summary construct..
  39. Java API Java API: org.neuroph.nnet.learning.ResilientPropagation class [10%] ..lms org.neuroph.nnet.learning.backpropagation org.neuroph.nnet.learning.res..
  40. Java API Java API: jhplot.HNeuralNet class [10%] ..twrork calculations. based on backpropagation. constructor summary construc..
  41. Java API Java API: org.encog.ml.train.MLTrain interface [9%] ..l known implementing classes: backpropagation, basebaumwelch, basictraining..
  42. Java API Java API: org.encog.ml.train.strategy.HybridStrategy class [9%] ..his is particularly true with backpropagation. field summary fieldsĀ  modif..
  43. Java API Java API: org.neuroph.nnet.learning.DynamicBackPropagation class [9%] ..ph.nnet.learning class dynamicbackpropagation java.lang.object org.neuroph...
  44. Java API Java API: org.encog.neural.networks.training.propagation.resilient.ResilientPropagation class [8%] ..pagation one problem with the backpropagation algorithm is that the magnitu..
  45. Java API Java API: org.encog.neural.networks.training.lma.LevenbergMarquardtTraining class [7%] ..t (similar to what is used by backpropagation. the lambda parameter determi..
  46. Java API Java API: org.encog.neural.networks.training.propagation.manhattan.ManhattanPropagation class [7%] ..ningrate one problem that the backpropagation technique has is that the mag..
  47. Java API Java API: org.encog.neural.networks.training.propagation.Propagation class [6%] ..able direct known subclasses: backpropagation, manhattanpropagation, quickp..