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taki0112
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SENet-Tensorflow
Simple Tensorflow implementation of "Squeeze and Excitation Networks" using Cifar10 (ResNeXt, Inception-v4, Inception-resnet-v2)
MIT License
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can just add squeeze_abode _layer in residual connection?
#18
tanjia123456
opened
3 years ago
1
Test acc on cifar10
#17
rederyang
opened
3 years ago
0
training and test data normalization
#16
Yuranus
opened
5 years ago
0
Result
#15
navy63
opened
5 years ago
1
Can it support Tensorflow 2.0 with Windows10?
#14
QQ2737499951
opened
5 years ago
0
About the structure of SENet
#13
N-Kingsley
opened
5 years ago
0
in the resnext block, why the [1, 1] convolution has stride>1, where [3, 3] has stride 1, the downsample is realized by [3, 3] convolution with stride=2 in resnet
#12
hejiemath
opened
5 years ago
1
training accuracy and test accuracy is always too low
#11
JunjieZhouwust
opened
5 years ago
0
How to run the code?
#10
XuXuanhui
closed
5 years ago
0
how to run the classification with unseem image (se_inception_resnet_v2 )
#9
leowang7
closed
6 years ago
0
Question:Tried to convert 'tensor' to a tensor and failed. Error: Argument must be a dense tensor: Last layer is: DenseLayer (srgan_g5_densenet_se/SE_block1_dense2) [16, 32] - got shape [19], but wanted [].
#8
Zzzzy411
opened
6 years ago
0
Can you please suggest how much gpu memory should I use in order to complete the training? mine is a 4g gpu, and with that config set in sess, it ran out of resource every time I try. Thanks.
#7
Flatheadman
closed
6 years ago
1
new dataset
#6
HanYuanyuaner
opened
6 years ago
3
Is there pretained model for downloading?
#5
samsun639
opened
6 years ago
0
nan output
#4
HanYuanyuaner
opened
6 years ago
2
The generated graph is degenerate
#3
akanimax
opened
6 years ago
1
ensorflow.python.framework.errors_impl.InvalidArgumentError: Reshape cannot infer the missing input size for an empty tensor unless all specified input sizes are non-zero..'
#2
cchantra
opened
6 years ago
1
se should be added after inception block, right?
#1
dpcross
opened
6 years ago
4