代码搜索:Recurrent

找到约 100 项符合「Recurrent」的源代码

代码结果 100
www.eeworm.com/read/165306/5483546

h recurrentnetwork.h

/** * $Id: RecurrentNetwork.h,v 1.1 2004/06/28 08:01:29 opx Exp $ * @author op */ #ifndef RECURRENTNETWORK_H #define RECURRENTNETWORK_H #include "Network.h" #include "InputLayer.h" #include "Recur
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h recurrentneuron.h

#ifndef _RECURRENTNEURON_H #define _RECURRENTNEURON_H #include "SimpleNeuron.h" #include "defines.h" #include namespace annie { /** A neuron used for recurrent networks. * These neurons
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h recurrentneuron.h

#ifndef _RECURRENTNEURON_H #define _RECURRENTNEURON_H #include "SimpleNeuron.h" #include "defines.h" #include namespace annie { /** A neuron used for recurrent networks. * These neurons
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cpp recurrentneuron.cpp

#include "../include/Exception.h" #include "../include/RecurrentNeuron.h" #include using namespace std; namespace annie { RecurrentNeuron::RecurrentNeuron(int label, bool hasBias)
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cpp recurrentneuron.cpp

#include "../include/Exception.h" #include "../include/RecurrentNeuron.h" #include using namespace std; namespace annie { RecurrentNeuron::RecurrentNeuron(int label, bool hasBias)
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dsw examples.dsw

Microsoft Developer Studio Workspace File, Format Version 6.00 # WARNING: DO NOT EDIT OR DELETE THIS WORKSPACE FILE! ###############################################################################
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dsw examples.dsw

Microsoft Developer Studio Workspace File, Format Version 6.00 # WARNING: DO NOT EDIT OR DELETE THIS WORKSPACE FILE! ###############################################################################
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vc6 makefile.vc6

CC = cl CC_OPTS = /nologo /ML /W3 /GX /O2 /D "WIN32" /FD /F0x400000 CC_LIBS = libnn-utility.lib install: annealing.exe \ array.exe \ binomial.exe \ hopefield.exe \ kohen_example.e
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vc6 makefile.vc6

CC = cl CC_OPTS = /nologo /ML /W3 /GX /O2 /D "WIN32" /FD /F0x400000 CC_LIBS = libnn-utility.lib install: annealing.exe \ array.exe \ binomial.exe \ hopefield.exe \ kohen_example.e
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py slow_sine.py

########################################################### # slow sine genration task with standard and BP ESN # # see Jaeger H. (2002), "Tutorial on training recurrent # neural networks, covering BP