In the TF1 C4 Wk2 quiz, question 2 asks a question regarding drop_remainder. In the course lectures we see the drop_remainder set equal to True and that truncated the columns of the array such that they were the same length as the rows. Is the example in the lectures actually displaying the transpose of the matrix?
Please see this link where the
drop_remainder parameter is explained.
When using fixed length inputs to your neural network,
drop_remainder helps with discarding the last window when there are fewer data points that the window size.