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Results tagged with convolutional-neural-network
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user 133184
A convolutional neural network is a form of neural network with an additional convolutional layer, typically used in image & audio analysis. The convolutional layer is essentially a filtering stage defined by the kernel which is used. For example, a convolutional layer could have a kernel which extracts edges from an image towards the goal of learning which objects are in a scene.
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Which representation of CNN feature maps is correct?
When I extract my features from my CNN, it doesn't look like this:
And those pictures are not just representation. From this article it can be seen that these features are actual extracted features f …
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Transpose Convolution feature extraction
Convolution extracts high-level features, but what about Transpose Convolution (or De/Up-Convolution)? Does it behave exactly the opposite? Does it generate lower-level features?
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Is backpropagation applied every layer the same?
For example, I have layers that are pretrained. But while predicted, the loss is very high. But not because of pre-trained layers. Because of not pretrained layers. Will every layer be affected by bac …
- 111