so i recently discovered really weird behaviour of my AI model. i wanted to build AI model which would try and guess the implicit functions based on the data i give it to it. for example equation of the flower:

In tensorflow, there is a pixel-shuffle method called depth_to_space. What it does is the following:
Suppose we have an image (an array) with dimensions (4,4,4). The above method shuffles the values of this array so that we get an array of size (16,16,1) in a way depicted in the image below:

When computing the effective sample size of a NumPy array as done below