代码搜索:BackProp

找到约 426 项符合「BackProp」的源代码

代码结果 426
www.eeworm.com/read/188648/8521969

cpp backprop.cpp

/* ****************************************************************** * backprop.cpp ****************************************************************** */ #include "StdAfx.h" #include
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h backprop.h

/* ****************************************************************** * backprop.h ****************************************************************** */ #ifndef _BACKPROP_H_ #define _BACKPROP_H
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m backprop.m

function network = backprop(network, X, T, max_iter) %BACKPROP Trains a network on a dataset using backpropagation % % network = backprop(network, X, T, max_iter) % % The function trains the sp
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h backprop.h

#ifndef _BACKPROP_ #define _BACKPROP_ #define EPOCHS 3000 #define SAVE_WGTS_FREQ 50 #define DISPLAY_FREQ 10 #define NN_n_inp 3 #define DEFAULT_HIDDENS 4 #define NN_n_out 1 #defin
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c backprop.c

/************************************ Code for implementing the backpropagation algorithm for training a fully-connected MLP neural network with 1 layer of hidden units. Loosely translated fr
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h backprop.h

/* backprop.h * CMUnited-97 (soccer client for Robocup-97) * Peter Stone * Computer Science Department * Carnegie Mellon University * Copyright (C) 1997 Peter Stone * * CMUn
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c backprop.c

/* backprop.c * CMUnited-97 (soccer client for Robocup-97) * Peter Stone * Computer Science Department * Carnegie Mellon University * Copyright (C) 1997 Peter Stone * * CMUn
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c backprop.c

/*PAGE Introduction backprop.c Dwayne Phillips August 1992 April 1994 - resumed work The functions in this file implement the backpropogation neural network. NOTES:
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java backprop.java

/* Copyright 2006, 2007 Brian Greer This file is part of the Java NN Trainer. Java NN Trainer is free software; you can redistribute it and/or modify it under the terms of the GNU General Public
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m backprop.m

% Version 1.000 % % Code provided by Ruslan Salakhutdinov and Geoff Hinton % % Permission is granted for anyone to copy, use, modify, or distribute this % program and accompanying programs and documen