AI Features

Convolution in Practice

Find out why convolutional and pooling layers are the building blocks of Convolutional Neural Networks.

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When it comes to real-life applications, most images are in fact a 3D tensor with width, height, and 3 channels (R,G,B) as dimensions.

In that case, the kernel should also be a 3D tensor (k×k×channelsk \times k \times channels ...