MNIST-1LNN
1.0
A simple 1-layer neural network to recognize handwritten single digit numbers from the MNIST image files.
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Functions
Typedefs
Enumerations
Enumerator
Macros
b
c
d
f
g
i
l
m
n
o
r
s
t
u
v
w
y
Here is a list of all functions, variables, defines, enums, and typedefs with links to the files they belong to:
- b -
BLUE :
screen.h
- c -
calcCellOutput() :
1lnn.c
,
1lnn.h
Cell :
1lnn.h
clearScreen() :
screen.c
,
screen.h
Color :
screen.h
CYAN :
screen.h
- d -
displayImage() :
mnist-stats.c
,
mnist-stats.h
displayImageFrame() :
mnist-stats.h
,
mnist-stats.c
displayLoadingProgressTesting() :
mnist-stats.c
,
mnist-stats.h
displayLoadingProgressTraining() :
mnist-stats.c
,
mnist-stats.h
displayProgress() :
mnist-stats.h
,
mnist-stats.c
- f -
flipBytes() :
mnist-utils.c
- g -
getCellError() :
1lnn.c
,
1lnn.h
getImage() :
mnist-utils.h
,
mnist-utils.c
getLabel() :
mnist-utils.c
,
mnist-utils.h
getLayerPrediction() :
1lnn.h
,
1lnn.c
getTargetOutput() :
1lnn.c
,
1lnn.h
GREEN :
screen.h
- i -
initLayer() :
1lnn.c
,
1lnn.h
- l -
Layer :
1lnn.h
LEARNING_RATE :
1lnn.h
locateCursor() :
screen.c
,
screen.h
- m -
main() :
main.c
MNIST_Image :
mnist-utils.h
MNIST_ImageFileHeader :
mnist-utils.h
MNIST_IMG_HEIGHT :
mnist-utils.h
MNIST_IMG_WIDTH :
mnist-utils.h
MNIST_Label :
mnist-utils.h
MNIST_LabelFileHeader :
mnist-utils.h
MNIST_MAX_TESTING_IMAGES :
mnist-utils.h
MNIST_MAX_TRAINING_IMAGES :
mnist-utils.h
MNIST_TESTING_SET_IMAGE_FILE_NAME :
mnist-utils.h
MNIST_TESTING_SET_LABEL_FILE_NAME :
mnist-utils.h
MNIST_TRAINING_SET_IMAGE_FILE_NAME :
mnist-utils.h
MNIST_TRAINING_SET_LABEL_FILE_NAME :
mnist-utils.h
- n -
NUMBER_OF_INPUT_CELLS :
1lnn.h
NUMBER_OF_OUTPUT_CELLS :
1lnn.h
- o -
openMNISTImageFile() :
mnist-utils.c
,
mnist-utils.h
openMNISTLabelFile() :
mnist-utils.c
,
mnist-utils.h
- r -
readImageFileHeader() :
mnist-utils.c
readLabelFileHeader() :
mnist-utils.c
RED :
screen.h
- s -
setCellInput() :
1lnn.c
,
1lnn.h
setColor() :
screen.c
,
screen.h
- t -
testCell() :
1lnn.c
,
1lnn.h
testLayer() :
main.c
trainCell() :
1lnn.c
,
1lnn.h
trainLayer() :
main.c
- u -
updateCellWeights() :
1lnn.c
,
1lnn.h
- v -
Vector :
1lnn.h
- w -
WHITE :
screen.h
- y -
YELLOW :
screen.h
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