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NEW QUESTION: 1
A Machine Learning Specialist built an image classification deep learning model. However, the Specialist ran into an overfitting problem in which the training and testing accuracies were 99% and 75%, respectively.
How should the Specialist address this issue and what is the reason behind it?
A. The learning rate should be increased because the optimization process was trapped at a local minimum.
B. The dimensionality of dense layer next to the flatten layer should be increased because the model is not complex enough.
C. The epoch number should be increased because the optimization process was terminated before it reached the global minimum.
D. The dropout rate at the flatten layer should be increased because the model is not generalized enough.
Answer: D
Explanation:
https://kharshit.github.io/blog/2018/05/04/dropout-prevent-overfitting
NEW QUESTION: 2
A. Option A
B. Option D
C. Option C
D. Option B
Answer: C
NEW QUESTION: 3
Following a significant change to the underlying code of an application, it is MOST important for the information security manager to:
A. update the risk assessment
B. inform senior management
C. modify key risk indicators
D. validate the user acceptance testing
Answer: B
NEW QUESTION: 4
分散展開で使用されるノードにCisco ISEをインストールしています。最初のブートストラッププロセスの後、Cisco ISEノードはどの状態になりますか？
A. スタンドアロン
B. 管理
C. リモート
D. ポリシーサービス
Answer: A