What is the MOST likely cause of this issue?

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.

Answer: D

Explanation:

Reference: https://towardsdatascience.com/deep-learning-personal-notes-part-1-lesson-2-8946fe970b95

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