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Results tagged with convolutional-neural-network
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user 59484
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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1x1 Convolution. How does the math work?
So I stumbled upon Andrew Ng's course on $1x1$ convolutions.
There, he explains that you can use a $1x1x192$ convolution to shrink it.
But when I do:
input_ = torch.randn([28, 28, 192])
filter = to …
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