Found in titles:

  1. HandWikiWiki: DMelt:AI/1.Backpropagation.Neural.Net [100%] (in title)
  2. HandWikiWiki: DMelt:AI/2.Bayesian.Neural.Net [100%] (in title)
  3. DataMelt DMelt: org.encog.neural.NeuralNetworkError [100%] (Java API)
  4. DataMelt DMelt: org.encog.neural.package-frame [100%] (Java API)
  5. DataMelt DMelt: org.encog.neural.package-summary [100%] (Java API)
  6. DataMelt DMelt: org.encog.neural.art.ART [87%] (Java API)
  7. DataMelt DMelt: org.encog.neural.art.ART1 [87%] (Java API)
  8. DataMelt DMelt: org.encog.neural.art.PersistART1 [87%] (Java API)
  9. DataMelt DMelt: org.encog.neural.art.package-frame [87%] (Java API)
  10. DataMelt DMelt: org.encog.neural.art.package-summary [87%] (Java API)
  11. DataMelt DMelt: org.encog.neural.bam.BAM [87%] (Java API)
  12. DataMelt DMelt: org.encog.neural.bam.PersistBAM [87%] (Java API)
  13. DataMelt DMelt: org.encog.neural.bam.package-frame [87%] (Java API)
  14. DataMelt DMelt: org.encog.neural.bam.package-summary [87%] (Java API)
  15. DataMelt DMelt: org.encog.neural.cpn.CPN [87%] (Java API)
  16. DataMelt DMelt: org.encog.neural.cpn.PersistCPN [87%] (Java API)
  17. DataMelt DMelt: org.encog.neural.cpn.package-frame [87%] (Java API)
  18. DataMelt DMelt: org.encog.neural.cpn.package-summary [87%] (Java API)
  19. DataMelt DMelt: org.encog.neural.data.NeuralData [87%] (Java API)
  20. DataMelt DMelt: org.encog.neural.data.NeuralDataPair [87%] (Java API)
  21. DataMelt DMelt: org.encog.neural.data.NeuralDataSet [87%] (Java API)
  22. DataMelt DMelt: org.encog.neural.data.package-frame [87%] (Java API)
  23. DataMelt DMelt: org.encog.neural.data.package-summary [87%] (Java API)
  24. DataMelt DMelt: org.encog.neural.error.ATanErrorFunction [87%] (Java API)
  25. DataMelt DMelt: org.encog.neural.error.CrossEntropyErrorFunction [87%] (Java API)
  26. DataMelt DMelt: org.encog.neural.error.ErrorFunction [87%] (Java API)
  27. DataMelt DMelt: org.encog.neural.error.LinearErrorFunction [87%] (Java API)
  28. DataMelt DMelt: org.encog.neural.error.OutputErrorFunction [87%] (Java API)
  29. DataMelt DMelt: org.encog.neural.error.package-frame [87%] (Java API)
  30. DataMelt DMelt: org.encog.neural.error.package-summary [87%] (Java API)
  31. DataMelt DMelt: org.encog.neural.flat.FlatLayer [87%] (Java API)
  32. DataMelt DMelt: org.encog.neural.flat.FlatNetwork [87%] (Java API)
  33. DataMelt DMelt: org.encog.neural.flat.FlatNetworkRBF [87%] (Java API)
  34. DataMelt DMelt: org.encog.neural.flat.package-frame [87%] (Java API)
  35. DataMelt DMelt: org.encog.neural.flat.package-summary [87%] (Java API)
  36. DataMelt DMelt: org.encog.neural.freeform.FreeformConnection [87%] (Java API)
  37. DataMelt DMelt: org.encog.neural.freeform.FreeformContextNeuron [87%] (Java API)
  38. DataMelt DMelt: org.encog.neural.freeform.FreeformLayer [87%] (Java API)
  39. DataMelt DMelt: org.encog.neural.freeform.FreeformNetwork [87%] (Java API)
  40. DataMelt DMelt: org.encog.neural.freeform.FreeformNetworkError [87%] (Java API)
  41. DataMelt DMelt: org.encog.neural.freeform.FreeformNeuron [87%] (Java API)
  42. DataMelt DMelt: org.encog.neural.freeform.InputSummation [87%] (Java API)
  43. DataMelt DMelt: org.encog.neural.freeform.TempTrainingData [87%] (Java API)
  44. DataMelt DMelt: org.encog.neural.freeform.package-frame [87%] (Java API)
  45. DataMelt DMelt: org.encog.neural.freeform.package-summary [87%] (Java API)
  46. DataMelt DMelt: org.encog.neural.hyperneat.FactorHyperNEATGenome [87%] (Java API)
  47. DataMelt DMelt: org.encog.neural.hyperneat.HyperNEATCODEC [87%] (Java API)
  48. DataMelt DMelt: org.encog.neural.hyperneat.HyperNEATGenome [87%] (Java API)
  49. DataMelt DMelt: org.encog.neural.hyperneat.package-frame [87%] (Java API)
  50. DataMelt DMelt: org.encog.neural.hyperneat.package-summary [87%] (Java API)
  51. DataMelt DMelt: org.encog.neural.neat.FactorNEATGenome [87%] (Java API)
  52. DataMelt DMelt: org.encog.neural.neat.NEATCODEC [87%] (Java API)
  53. DataMelt DMelt: org.encog.neural.neat.NEATGenomeFactory [87%] (Java API)
  54. DataMelt DMelt: org.encog.neural.neat.NEATLink [87%] (Java API)
  55. DataMelt DMelt: org.encog.neural.neat.NEATNetwork [87%] (Java API)
  56. DataMelt DMelt: org.encog.neural.neat.NEATNeuronType [87%] (Java API)
  57. DataMelt DMelt: org.encog.neural.neat.NEATPopulation [87%] (Java API)
  58. DataMelt DMelt: org.encog.neural.neat.NEATUtil [87%] (Java API)
  59. DataMelt DMelt: org.encog.neural.neat.PersistNEATPopulation [87%] (Java API)
  60. DataMelt DMelt: org.encog.neural.neat.package-frame [87%] (Java API)
  61. DataMelt DMelt: org.encog.neural.neat.package-summary [87%] (Java API)
  62. DataMelt DMelt: org.encog.neural.networks.BasicNetwork [87%] (Java API)
  63. DataMelt DMelt: org.encog.neural.networks.ContainsFlat [87%] (Java API)
  64. DataMelt DMelt: org.encog.neural.networks.NeuralDataMapping [87%] (Java API)
  65. DataMelt DMelt: org.encog.neural.networks.PersistBasicNetwork [87%] (Java API)
  66. DataMelt DMelt: org.encog.neural.networks.package-frame [87%] (Java API)
  67. DataMelt DMelt: org.encog.neural.networks.package-summary [87%] (Java API)
  68. DataMelt DMelt: org.encog.neural.pattern.ADALINEPattern [87%] (Java API)
  69. DataMelt DMelt: org.encog.neural.pattern.ART1Pattern [87%] (Java API)
  70. DataMelt DMelt: org.encog.neural.pattern.BAMPattern [87%] (Java API)
  71. DataMelt DMelt: org.encog.neural.pattern.BoltzmannPattern [87%] (Java API)
  72. DataMelt DMelt: org.encog.neural.pattern.CPNPattern [87%] (Java API)
  73. DataMelt DMelt: org.encog.neural.pattern.ElmanPattern [87%] (Java API)
  74. DataMelt DMelt: org.encog.neural.pattern.FeedForwardPattern [87%] (Java API)
  75. DataMelt DMelt: org.encog.neural.pattern.HopfieldPattern [87%] (Java API)
  76. DataMelt DMelt: org.encog.neural.pattern.JordanPattern [87%] (Java API)
  77. DataMelt DMelt: org.encog.neural.pattern.NeuralNetworkPattern [87%] (Java API)
  78. DataMelt DMelt: org.encog.neural.pattern.PNNPattern [87%] (Java API)
  79. DataMelt DMelt: org.encog.neural.pattern.PatternError [87%] (Java API)
  80. DataMelt DMelt: org.encog.neural.pattern.RadialBasisPattern [87%] (Java API)
  81. DataMelt DMelt: org.encog.neural.pattern.SOMPattern [87%] (Java API)
  82. DataMelt DMelt: org.encog.neural.pattern.SVMPattern [87%] (Java API)
  83. DataMelt DMelt: org.encog.neural.pattern.package-frame [87%] (Java API)
  84. DataMelt DMelt: org.encog.neural.pattern.package-summary [87%] (Java API)
  85. DataMelt DMelt: org.encog.neural.pnn.AbstractPNN [87%] (Java API)
  86. DataMelt DMelt: org.encog.neural.pnn.BasicPNN [87%] (Java API)
  87. DataMelt DMelt: org.encog.neural.pnn.PNNKernelType [87%] (Java API)
  88. DataMelt DMelt: org.encog.neural.pnn.PNNOutputMode [87%] (Java API)
  89. DataMelt DMelt: org.encog.neural.pnn.PersistBasicPNN [87%] (Java API)
  90. DataMelt DMelt: org.encog.neural.pnn.package-frame [87%] (Java API)
  91. DataMelt DMelt: org.encog.neural.pnn.package-summary [87%] (Java API)
  92. DataMelt DMelt: org.encog.neural.prune.HiddenLayerParams [87%] (Java API)
  93. DataMelt DMelt: org.encog.neural.prune.NetworkPattern [87%] (Java API)
  94. DataMelt DMelt: org.encog.neural.prune.PruneIncremental [87%] (Java API)
  95. DataMelt DMelt: org.encog.neural.prune.PruneSelective [87%] (Java API)
  96. DataMelt DMelt: org.encog.neural.prune.package-frame [87%] (Java API)
  97. DataMelt DMelt: org.encog.neural.prune.package-summary [87%] (Java API)
  98. DataMelt DMelt: org.encog.neural.rbf.PersistRBFNetwork [87%] (Java API)
  99. DataMelt DMelt: org.encog.neural.rbf.RBFNetwork [87%] (Java API)
  100. DataMelt DMelt: org.encog.neural.rbf.package-frame [87%] (Java API)
  101. Java Java Example: neural_net_4.java [100%] Simple backpropagation neural net
  102. Jython Jython Example: neural_net_2.py [92%] Backpropagation neural net (2): Create a neural network
  103. Jython Jython Example: neural_net_encog3.py [81%] Backpropogation and predictions with Encog
  104. Jython Jython Example: recurn_lstm1.py [81%] Recurrent Neural Network (LSTM)
  105. Jython Jython Example: neural_net_hbayes.py [81%] Bayesian networks as GUI
  106. Jython Jython Example: neural_net_workbench.py [81%] making a workbench
  107. Jython Jython Example: neural_net_symbols.py [80%] Backpropagation neural net using text as input and output
  108. Jython Jython Example: neural_net_all.py [80%] Backpropagation neural net (all steps). Create data and train.
  109. Jython Jython Example: neural_net_analysis.py [80%] Backpropogation neural network training/analysis
  110. Jython Jython Example: neural_net_bpnn.py [80%] Back-Propagation Neural Network implemented in Python
  111. Jython Jython Example: neural_net_3.py [80%] Backpropagation neural net (3): Read data and train it
  112. Jython Jython Example: neural_net_1.py [80%] Backpropagation neural net (1): Create input data
  113. Jython Jython Example: neural_net_smile.py [80%] Complex neural net with many layers using Smile
  114. Java Java Example: neural_net_bayesian_k2.java [65%] Bayesian network using Encog Java and simpel logic
  115. Jython Jython Example: neural_net_MLP.py [65%] Multi-Layer Perceptron for the XOR problem using Neuroph (Jython)
  116. Jython Jython Example: neural_net_bsom1.py [65%] Build a bayesian Self-Organizing Map. Example I
  117. Java Java Example: neural_net_encog1.java [65%] Read a CSV file and do beckpropogation with encog
  118. Jython Jython Example: neural_net_kohonen_map2D.py [65%] Kohonen Feature Map in 2D (SOM)
  119. Jython Jython Example: neural_net_encog2.py [65%] Read a CSV file and do backpropogation with Encog, and then analyse it
  120. Jython Jython Example: neural_net_som.py [65%] Self-Organizing Maps in Python
  121. Jython Jython Example: neural_net_bayesian.py [65%] Bayesian networks using Encog Java
  122. Java Java Example: neural_net_MLP.java [65%] Multi-Layer Perceptron for the XOR problem using Neuroph (Java)
  123. Jython Jython Example: joone_wine2.py [65%] Joone. Forecast wine production using saved trained Neural Net (II).
  124. Java Java Example: joone_XOR.java [65%] Neural network using Joone for solving XOR problem
  125. Java Java Example: joone_XORMemory.java [65%] Demonstrate Neural Network using Joone with InMemory arrays
  126. Java Java Example: joone_TimeSeries.java [65%] Neural Network with Joone for TimeSeries forecasting
  127. Jython Jython Example: joone_XORMemory1.py [65%] Building a neural net in memory for XOR problem using Joone
  128. Jython Jython Example: joone_XORMemory2.py [65%] Training and veryfing a neural net using Joone
  129. Jython Jython Example: joone_timeseries.py [65%] Forecasting time series using Joone neural network
  130. Java Java Example: neural_net_bayesian.java [65%] Bayesian networks using Encog Java
  131. Jython Jython Example: neural_net_bayesian_k2.py [65%] Bayesian networks using Encog Java and simple logic
  132. Java Java Example: neural_net_MLP_RT.java [65%] Multi Layer Perceptron network using Resilient Propagation
  133. Jython Jython Example: neural_net_kohonen_mapND.py [65%] Kohonen Feature Map in N dimension (SOM)
  134. Jython Jython Example: classify_neural_net_plot.py [65%] Classify data with neural network with many input layers
  135. Jython Jython Example: neural_net_kohonen_map3D.py [65%] Kohonen Feature Map in 3D (SOM)
  136. Jython Jython Example: javacnn1.py [65%] Convolutional neural network for 28x28 px and its prediction
  137. Jython Jython Example: neural_net_jayes1.py [65%] Bayesian network using jayes Java library
  138. Jython Jython Example: neural_net_jayes3.py [65%] Bayesian network using using the Jayes library
  139. Jython Jython Example: neural_net_kohenmap1.py [65%] Example of Kohonen Feature Map (selforganizing Map, SOM)
  140. Jython Jython Example: neural_net_bsom2.py [65%] Build a bayesian Self-Organizing Map. Example II
  141. Jython Jython Example: neural_net_encog1.py [65%] Read a CSV file and do backpropogation with Encog
  142. Jython Jython Example: neural_net_jayes2.py [65%] Bayesian network using using the Jayes library
  143. Jython Jython Example: bayes_rain.py [57%] Bayesian network for rain predictions
  144. Jython Jython Example: joone_wine1.py [46%] Joone. Training NeuralNet using complex input data on wine production (I).
  145. Jython Jython Example: recurn_lstm2.py [46%] Long Short-Term Memory Networks (LSTM) for text
  146. Jython Jython Example: recurn_lstm3.py [46%] Long Short-Term Memory Networks (LSTM) example
  147. Jython Jython Example: classify_neuralnet.py [46%] Classification using Multilayer Perceptron Neural Network
  148. Jython Jython Example: javacnn2_faces.py [46%] Identify images with faces using convolutional NN (CNN)
  149. Jython Jython Example: javacnn2.py [46%] Convolutional NN (CNN) for MNIST database of handwritten digits
  150. Jython Jython Example: javacnn2_many.py [46%] Identify 8 types of PGM images using convolutional NN (CNN)
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