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NEW QUESTION: 1
バイナリ分類を実行するリカレントニューラルネットワークを構築しています。
各トレーニングエポックのトレーニング損失、検証損失、トレーニング精度、および検証精度が提供されています。分類モデルがオーバーフィットしているかどうかを識別する必要があります。
次のうち正しいものはどれですか？
A. モデルのトレーニング時に検証損失が増加する一方で、トレーニング損失は減少します。
B. トレーニング損失は一定のままであり、検証損失はモデルをトレーニングするときに一定の値でトレーニング損失値に近いままです。
C. モデルをトレーニングすると、検証損失は減少しますが、トレーニング損失は増加します。
D. モデルをトレーニングするとき、トレーニング損失は一定のままで、検証損失は減少します。
Answer: A
Explanation:
説明
オーバーフィットモデルとは、トレインセットのパフォーマンスが良好であり、改善を続ける一方で、検証セットのパフォーマンスがある程度改善し、その後低下し始めるモデルです。
参照：
https://machinelearningmastery.com/diagnose-overfitting-underfitting-lstm-models/

NEW QUESTION: 2
A technician has deployed a Communication Server 1000 Rls. 7x system at their site.
You are using the Virtual Terminal to access Communication Command line interface (CLI) to add telephone.
Which Overlays (LDs) are linked to eliminate the need for existing one Overlay (LD) and entering another one?
A. LD 20 and 32
B. LD 10, 11, 15 and 20
C. LD 10, 11, 20 and 30
D. LD 10, 11, 20 and 32
Answer: D

NEW QUESTION: 3
You manage the software and hardware retirement process for a customer. The customer does not use Microsoft Software Assurance.
The customer plans to retire desktop computers that have the following characteristics:
All hardware is more than three years old.
All desktop computers have Windows preinstalled.
All Microsoft Office licenses are purchased under a volume license agreement.
You need to recommend a solution for reusing licenses.
What should you recommend?
A. Reuse all licenses for Windows.
B. Reuse none of the licenses.
C. Purchase Software Assurance and reuse all licenses.
D. Reuse all licenses for Office.
Answer: D

NEW QUESTION: 4
AWS Enterprise Support 사용자는 다른 AWS Support 플랜을 사용할 수 없는 서비스 나 기능에 액세스할 수 있습니까?
A. AWS Trusted Advisor
B. AWS 지원 사례
C. 아마존 커넥트
D. 컨시어지 팀
Answer: C