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The key piece of a convolutional neural network is convolution.
A good example is http://setosa.io/ev/image-kernels
Most kernels in deep learning are 3x3 really fantastic interactive book http://…
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Isn't there a bug in the way negative gradients are filtered out for ReLU's in Guided Backprop?
What you do is:
`torch.clamp(grad_in[0], min=0.0)`,
while the paper states:
> rather than mas…
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Dear Sir, if possible, would you please implement the deconvolutional networks? I think that one is very popular as well.
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我们提出了一种新颖实用的深度完全卷积神经网络架构,用于语义像素分割器SegNet。该核心可训练分割引擎包括编码器网络,相应的解码器网络,后面是像素分类层。
* 编码器网络的体系结构在拓扑上与VGAG16网络中的13个卷积层相同。
* 解码器网络的作用是将低分辨率编码器特征映射映射到用于像素分类的全输入分辨率特征映射。
**SegNet的新颖之处在于解码器对其较低分辨率输入特征图进行…
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There are some errors I've found recently when trying to reproduce the result.
1) restore_session -> doesn't have 'self' as param
2) in predict: feed_dict={image:[image]} -> {self.x:[image]}
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I used the code:
'''image = np.float32(cv2.imread(image_path))
deconvNet = DeconvNet()
deconvNet.restore_session()
deconvNet.predict(image=image)'''
But it always doesn't work . . .(Help Me...)
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Thanks for sharing good stuff!
Reviewing this code, and found that in file DeconvNet.py ReLU used only once in convolution layer, not in deconvolution layer. In ref paper they are using. Is this cor…
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I'm really sorry about it to make this issue with my problem
my question is this.
checkpoint_directory = "/checkpoints/"
img1 =np.float32(cv2.resize(cv2.imread("./test_data/tabby_cat.png"),(224,2…
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We use (ipy)notebooks as main way to introduce people to the api. "Learning by doing".
The following notebooks and contents should be part of the first release:
* A) [core reversal code:] walk t…
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Adding Gradient*Input to the list of methods in `examples/mnist_select_neuron.py` yields an `AttributeError`:
```
Output Neuron 0: Input (0.0641s) Gradient (0.3563s) Deconvnet (0.5039s) Guided Bac…