import numpy as np def softmax(x): """ Compute softmax values for each set of scores in x. Args: x: Input array of shape (batch_size, num_classes) or (num_classes,) Returns: Softmax probabilities of same shape a
count(x) > 0) array = [2, 8, 22]Ausgabe:>>> print(list(gen)) # Wo sind die anderen Variablen hin? [8]2.array_1 = [1,2,3,4] gen_1 = (x for x in array_1) array_1 = [1,2,3,4,5] array_2 = [1,2,3,4] gen_2 = (x for x in array_2) array_2[:] = [...