Master deepnn #145
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Master deepnn #145
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new file: tmva/inc/TMVA/MethodNN.h new file: tmva/inc/TMVA/Monitoring.h new file: tmva/inc/TMVA/NeuralNet.h new file: tmva/inc/TMVA/NeuralNet_i.h new file: tmva/inc/TMVA/Pattern.h modified: tmva/inc/TMVA/Types.h new file: tmva/src/MethodNN.cxx new file: tmva/src/NeuralNet.cxx
added stochastic to the gradient descent modified: tmva/inc/TMVA/NeuralNet_i.h
modified: tmva/tmva/inc/TMVA/NeuralNet.h modified: tmva/tmva/inc/TMVA/NeuralNet_i.h modified: tmva/tmva/src/MethodNN.cxx modified: tmva/tmva/src/NeuralNet.cxx
modified: ../tmva/inc/TMVA/Monitoring.h modified: ../tmva/inc/TMVA/NeuralNet_i.h modified: ../tmva/src/MethodNN.cxx modified: ../tmva/src/NeuralNet.cxx
…alue" modified: ../tmva/src/MethodNN.cxx
- fixed progress computation modified: ../tmva/inc/TMVA/NeuralNet_i.h modified: ../tmva/src/MethodNN.cxx
modified: ../../tmva/tmva/inc/TMVA/NeuralNet.h modified: ../../tmva/tmva/inc/TMVA/NeuralNet_i.h modified: ../../tmva/tmva/src/MethodNN.cxx put some basic usage into the examples modified: TMVAClassification.C
modified: tmva/tmva/inc/TMVA/NeuralNet_i.h
- added possibility to define the dropout fraction for each layer individually
modified: tmva/inc/TMVA/NeuralNet.h modified: tmva/inc/TMVA/NeuralNet_i.h modified: tmva/src/MethodNN.cxx modified: tmva/src/NeuralNet.cxx
- add multithreading as an option for the NN in TMVA
put in "preTraining". But no settings to turn it on yet.
Conflicts: tmva/tmva/inc/TMVA/Types.h
… values for truth in pattern
std::underlying_type_t is only supported in c++14 is was changed by std::underlying_type<T>::type
NOTE: the code from him master can not be merged - apply fixes an updated with master repo from ROOT - rename method NN to DNN - fixes in tutorials - apply: bug fixes: fixed multiplying weight twice to error; enable multithreading for testing from peter repo
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This pull request is now committed in the ROOT master Thank you Lorenzo |
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Deep learning code from Peter
with some fixes.
Best
Omar