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NEW QUESTION: 1
Azure Machine Learning Studioの2クラスニューラルネットワークモジュールを使用して、バイナリ分類モデルを構築します。 Tune Model Hyperparametersモジュールを使用して、モデルの精度を調整します。
Tune Model Hyperparametersモジュールを使用して、調整する必要があるハイパーパラメーターを選択する必要があります。
どの2つのハイパーパラメーターを使用する必要がありますか？それぞれの正解はソリューションの一部を示しています。
注：それぞれの正しい選択には1ポイントの価値があります。
A. Hidden layer specification
B. The type of the normalizer
C. Number of hidden nodes
D. Learning Rate
E. Number of learning iterations
Answer: A,E
Explanation:
Explanation
D: For Number of learning iterations, specify the maximum number of times the algorithm should process the training cases.
E: For Hidden layer specification, select the type of network architecture to create.
Between the input and output layers you can insert multiple hidden layers. Most predictive tasks can be accomplished easily with only one or a few hidden layers.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/two-class-neural-network

NEW QUESTION: 2
プロジェクトマネージャーが新しいプロジェクトに割り当てられました。プロジェクトチャーターの最初のレビュー中に、プロジェクトマネージャーはプロジェクトのスポンサーに連絡して、ドキュメントに欠けている重要な情報について話し合います。
プロジェクトマネージャが要求するのに適切な情報は何ですか？
A. 最終成果物の詳細な説明と要件
B. 作業分解構造（WBS）
C. パフォーマンス測定ベースライン
D. 重要な成功要因の測定可能な目標
Answer: D

NEW QUESTION: 3
Which of the following is required in order to process an NFC transaction?
A. Very close proximity or tap of the communicating devices is necessary.
B. The battery of the BlackBerry 10 device should be 5% or more.
C. Both devices should be at least 20cm apart.
D. A valid Wi-Fi connection is necessary.
Answer: A