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/225918/14511135
makefile
CFLAGS=-g -I.
LFLAGS=
facetrain: facetrain.o imagenet.o backprop_initr.o pgmimage.o
$(CC) ${LFLAGS} facetrain.o imagenet.o backprop_initr.o pgmimage.o \
-o facetrain -lm
hidtopgm: hidtopgm.o
www.eeworm.com/read/295072/8187994
txt makefile .txt
CFLAGS=-g -I.
LFLAGS=
facetrain: facetrain.o imagenet.o backprop_initr.o pgmimage.o
$(CC) ${LFLAGS} facetrain.o imagenet.o backprop_initr.o pgmimage.o \
-o facetrain -lm
hidtopgm: hid
www.eeworm.com/read/135428/13933802
txt makefile.txt
CFLAGS=-g -I.
LFLAGS=
facetrain: facetrain.o imagenet.o backprop_initr.o pgmimage.o
$(CC) ${LFLAGS} facetrain.o imagenet.o backprop_initr.o pgmimage.o \
-o facetrain -lm
hidtopgm: hidtopgm.o
www.eeworm.com/read/102303/15787056
makefile
CFLAGS=-g -I.
LFLAGS=
facetrain: facetrain.o imagenet.o backprop_initr.o pgmimage.o
$(CC) ${LFLAGS} facetrain.o imagenet.o backprop_initr.o pgmimage.o \
-o facetrain -lm
hidtopgm: hidtopgm.o
www.eeworm.com/read/289743/8529923
m backprop_gradient.m
function [C, dC] = backprop_gradient(v, network, X, targets)
%BACKPROP Compute the cost gradient for CG optimization of a neural network
%
% [C, dC] = backprop_gradient(v, network, X, targets)
%
% C
www.eeworm.com/read/130122/5964558
java backprop_net.java
package com.croftsoft.apps.insight;
import java.applet.Applet;
import java.awt.Graphics;
import java.awt.*;
import java.awt.Color;
import java.awt.Point;
imp
www.eeworm.com/read/155175/5629161
java backprop_net.java
package com.croftsoft.apps.insight;
import java.applet.Applet;
import java.awt.Graphics;
import java.awt.*;
import java.awt.Color;
import java.awt.Point;
imp
www.eeworm.com/read/270184/11045668
txt backprop.cpp.txt
/*
******************************************************************
* backprop.cpp
******************************************************************
*/
#include "StdAfx.h"
#include