Tags
gradient descent
machine learning
image processing
computer vision
style transfer
image generation
super resolution
gatys model
vdsr
srcnn
srgan
gan
lstms
rnns
mask r-cnn
faster r-cnn
fast-rcnn
rcnn
overfeat
inception
resnet
zfnet
vgg
alexnet
lenet5
neocognitron
cnns
filter banks
convolution
rectifiers
multitask learning
nesterov
dropout
batch-normalization
stacked autoencoders
sgd
feature hierarchy
deep learning
backpropagation
anns
adaline
svm
perceptron
neural networks
wiener deconvolution
llmmse
nl-bayes
mle
mse
mmse
map
total-variation
tikhonov
anisotropic diffusion
perona-malik
heat equation
udwt
dwt
wavelets
shrinkage
sparsity
epll
bm3d
ksvd
dictionary learning
patches
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Präsentationen
(13)Tags
gradient descent
machine learning
image processing
computer vision
style transfer
image generation
super resolution
gatys model
vdsr
srcnn
srgan
gan
lstms
rnns
mask r-cnn
faster r-cnn
fast-rcnn
rcnn
overfeat
inception
resnet
zfnet
vgg
alexnet
lenet5
neocognitron
cnns
filter banks
convolution
rectifiers
multitask learning
nesterov
dropout
batch-normalization
stacked autoencoders
sgd
feature hierarchy
deep learning
backpropagation
anns
adaline
svm
perceptron
neural networks
wiener deconvolution
llmmse
nl-bayes
mle
mse
mmse
map
total-variation
tikhonov
anisotropic diffusion
perona-malik
heat equation
udwt
dwt
wavelets
shrinkage
sparsity
epll
bm3d
ksvd
dictionary learning
patches
Mehr anzeigen