After some trial and error I found out how to interprete the results of scipy.signal.deconvolve() and I post my findings as an answer. Let’s start with a working example code import numpy as np import scipy.signal import matplotlib.pyplot as plt # let the signal be box-like signal = np.repeat([0., 1., 0.], 100) # and use … Read more
You can’t find this source because the source is automatically generated by bazel. If you build from source, you’ll see this file inside bazel-genfiles. It’s also present in your local distribution which you can find using inspect module. The file contains automatically generated Python wrappers to underlying C++ implementations, so it basically consists of a … Read more
UpSampling2D is just a simple scaling up of the image by using nearest neighbour or bilinear upsampling, so nothing smart. Advantage is it’s cheap. Conv2DTranspose is a convolution operation whose kernel is learnt (just like normal conv2d operation) while training your model. Using Conv2DTranspose will also upsample its input but the key difference is the … Read more