I watched in the video lecture of cs224: Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 2 – Word Vectors and Word Senses.
They take the sample size of the window to be $2^5 = 32$ or $2^6 = 64$. Why is the sample size of stochastic gradient descent a power of 2? Why not we can take 42 or 53 as the sample window size?
Btw, how to identify best minimum window sample size?