The only function I can find is for 2D convolutions described here...
Is there any optimised 1D function ?
It looks as though this is in development.
I've realised I can use the conv2d() function by specifying either width or height as 1...
For the function conv2d(), the parameter image_shape takes a list of length 4 containing:
([number_images,] height, width)
by setting height=1 or width=1 it forces it to a 1D convolution.
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