A fully differentiable implimentation of the discreate wavelet transform (DWT) in tensorflow
This code impliments the discreate wavelet transform and inverse wavelet transform in Tensorflow using the cdf9/7 wavlet taps. As a result the code is fully differentiable and ready to use in neural network code.
This code was created by Brendon Lutnick