During mini-batch training of a neural network for a classification problem, a Data Scientist notices that training accuracy oscillates.
What is the MOST likely cause of this issue?
A . The class distribution in the dataset is imbalanced.
B . Dataset shuffling is disabled.
C . The batch size is too big.
D . The learning rate is very high.