Perhaps, not so coincidentally, the last layer has the shape of (N, 10). N is the number of input images (which we've gotten from x) ; that's fairly self-explanatory. It also means that there is a clean mapping from input to output. What's not self-explanatory is the 10. Why 10? Simply put, there are 10 possible numbers we want to predict - 0, 1, 2, 3, 4, 5, 6, 7, 8, 9:
The preceding diagram is an example result matrix. Recall that we used G.SoftMax to ensure that each row sums up to 1. Therefore, we can interpret the numbers in each column of each row to be the probability that it is the specific digit that we're predicting. ...
