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Convolutional neural network: Difference between revisions
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===Kernel=== | ===Kernel=== | ||
Typically these days people use small kernels e.g. \(3 \times 3\) or \(4 \times 4\). | Typically these days people use small kernels e.g. \(3 \times 3\) or \(4 \times 4\) with many conv layers. | ||
However, historically people used larger kernels (e.g. <math>7 \times 7</math>). This leads to more parameters which need to be trained and thus networks cannot be as deep. | |||
Note that in practice, people use multi-channel inputs so the actual kernel will be 3D. | Note that in practice, people use multi-channel inputs so the actual kernel will be 3D. | ||