| Table of Contents ▸ List of Commands ▸ Neural Networks ▸ nn_fft | ◀ nn_fc | nn_init ▶ |
nn_fft
Arguments:
- out,in,io_mode,_is_inverse={ 0:No | 1:Yes },_axes.
Description:
Add a fft layer (Fourier Transform) to the current network.Argument io_mode tells about the meaning of input/output data. It can be { 0:real → real | 1:(real,imag) → real | 2:real → (real,imag) | 3:(real,imag) → (real,imag) }
When dealing with (real,imag) data, the real and imaginary parts of the data (N channels each) are concatenated into a 2N-channels image.
Argument axes can be { 0 (all) | x | y | z | xy | xz | yz | xyz }.
Default values:
is_inverse=0, axes=0 (all).


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