MNIST-3LNN
1.0
A simple 3-layer neural network to recognize handwritten single digit numbers from the MNIST image files.
Main Page
Related Pages
Data Structures
Files
File List
Globals
All
Functions
Typedefs
Enumerations
Enumerator
Macros
a
b
c
d
f
g
i
l
m
o
r
s
t
u
- a -
activateNode() :
3lnn.c
- b -
backPropagateHiddenLayer() :
3lnn.c
backPropagateNetwork() :
3lnn.c
,
3lnn.h
backPropagateOutputLayer() :
3lnn.c
- c -
calcLayer() :
3lnn.c
calcNodeOutput() :
3lnn.c
clearScreen() :
screen.c
,
screen.h
createInputLayer() :
3lnn.c
createLayer() :
3lnn.c
createNetwork() :
3lnn.c
,
3lnn.h
- d -
displayImage() :
mnist-stats.c
,
mnist-stats.h
displayImageFrame() :
mnist-stats.c
,
mnist-stats.h
displayTestingProgress() :
mnist-stats.c
,
mnist-stats.h
displayTrainingProgress() :
mnist-stats.c
,
mnist-stats.h
- f -
feedForwardNetwork() :
3lnn.c
,
3lnn.h
feedInput() :
3lnn.c
,
3lnn.h
flipBytes() :
mnist-utils.c
- g -
getActFctDerivative() :
3lnn.c
getImage() :
mnist-utils.c
,
mnist-utils.h
getLabel() :
mnist-utils.c
,
mnist-utils.h
getLayer() :
3lnn.c
getNetworkClassification() :
3lnn.c
,
3lnn.h
getNode() :
3lnn.c
getStandardDigitPixel() :
mnist-utils.c
,
mnist-utils.h
getVectorFromImage() :
main.c
- i -
initNetwork() :
3lnn.c
initWeights() :
3lnn.c
- l -
locateCursor() :
screen.c
,
screen.h
- m -
main() :
main.c
- o -
openMNISTImageFile() :
mnist-utils.c
,
mnist-utils.h
openMNISTLabelFile() :
mnist-utils.c
,
mnist-utils.h
- r -
readImageFileHeader() :
mnist-utils.c
readLabelFileHeader() :
mnist-utils.c
- s -
setColor() :
screen.c
,
screen.h
setNetworkDefaults() :
3lnn.c
- t -
testNetwork() :
main.c
trainNetwork() :
main.c
- u -
updateNodeWeights() :
3lnn.c
Generated by
1.8.10