#
he
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MNIST classification using Multi-Layer Perceptron (MLP) with 2 hidden layers. Some weight-initializers and batch-normalization are implemented.
tensorflow
mnist
batch-normalization
mnist-classification
xavier
weight-initializers
he-initializer
xavier-initializer
he
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Updated
Jan 20, 2017 - Python
🌸 Breast epithelium segmentation through IHC-guided supervision
deep-learning
segmentation
ihc
digital-pathology
breast-cancer
he
insitu
invasive
benign
histopathology
tma
immunohistochemistry
hematoxylin-eosin-staining
hematoxylin
fastpathology
epithelium
eosin
cytokeratin
tissue-microarray
-
Updated
Apr 23, 2024 - Python
Super Resolution's the images by 3x using CNN
resolution
machine-learning
computer-vision
tensorflow
interpolation
images
cnn
convolutional-networks
convolutional-neural-networks
cvpr
tensorflow-models
recognizing-handwritten-digits
psnr
upscaling
he
relu-layer
kaiming
mean-square-error
resolution-cnn
sub-sampling
-
Updated
Nov 28, 2017 - Python
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