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keras 3d convolution

Could you explain how 3d convolution works and how it's implemented in Keras?

2 votesJW326.00
1 Answers

If you know how 1D and 2D convolutions work, then you will know that there are some parameters for it.
stride, kernel size, filters etc. For 1D convolutions moves from left to right, for 2D it has 2 dimentions to move: Up and Down.
convolution applies a 3 dimentional filter to the dataset and the filter moves 3-direction (x, y, z). Its output shape is also 3 dimentional and you will get something like this:

Keras just computes the same thing on the back-end you gave.

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