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Hi, I saw your post because I got interested by chance on the same topic. Spent last night coding a solution in TensorFlow. After thinking about it for a while I came to realize that 2 channels would …
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1. some kernel size is different from the paper.
In "4.1 Encoding network" of the paper, they said "we use layer conv5_1 as an input to a residual block, consisting of three
convolutional layers wit…
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I've tried to replicate your `build_classification_model` using the following code
```python
def build_default_classification_model():
"""Instantiates the initial classification model
"…
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The crucial code are as follows:
if conv_index == '22':
self.vgg = nn.Sequential(*modules[:8])
elif conv_index == '54':
self.vgg = nn.Sequential(*modules[:35])
…
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Assume I have a simple model.
def create_model(out_classes):
f1 = Dense(16, activation=C.relu,bias=True,init_bias=0,name='FLayer')
l1 = Dense(16, activation=C.relu, bias=True, init_bias=0…
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summary resnet
```
def forward(self, x):
out = self.conv(x)
out = self.bn(out)
out = self.relu(out)
out = self.layer1(out)
out = self.layer2(out)
…
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Hello, would you please give me a hand? I met a tough question when I tried to use a [method](https://github.com/Eric-mingjie/network-slimming) to prune the channels of VGG16_reducedfc, the basebone o…
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I have creted noise2inverse environment as mentioned and the problem is happening in 3.train code.
It is giving me this output when I tried to run # Option a) Use MSD network. Error output:
```
…
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Could you please help me with this issue here?
Here is my code:
python /home/disk1/PhaBOX/main.py --contigs test_contigs.fa --threads 20 --rootpth ./tst.PhaBOX --dbdir /home/disk1/PhaBOX/databas…
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This code sample shows how to use torch function to do automatic eager mode convolution-relu fusion with "one step" of lazy evaluation. It needs a lot of improving and there are some internal APIs we …