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NEW QUESTION: 1
英語のテキストコンテンツをフランス語のテキストコンテンツに翻訳するための機械学習モデルを構築しています。
テキストコンテンツのシーケンスを学習するには、機械学習モデルを構築してトレーニングする必要があります。
どのタイプのニューラルネットワークを使用する必要がありますか？
A. Recurrent Neural Networks (RNNs)
B. Multilayer Perceptions (MLPs)
C. Generative Adversarial Networks (GANs)
D. Convolutional Neural Networks (CNNs)
Answer: A
Explanation:
Explanation
To translate a corpus of English text to French, we need to build a recurrent neural network (RNN).
Note: RNNs are designed to take sequences of text as inputs or return sequences of text as outputs, or both.
They're called recurrent because the network's hidden layers have a loop in which the output and cell state from each time step become inputs at the next time step. This recurrence serves as a form of memory. It allows contextual information to flow through the network so that relevant outputs from previous time steps can be applied to network operations at the current time step.
References:
https://towardsdatascience.com/language-translation-with-rnns-d84d43b40571
NEW QUESTION: 2
Answer:
Explanation:
Explanation
Box 1: Yes
All client computers in the Paris office will be joined to an Azure AD domain.
A virtual network named Paris-VNet that will contain two subnets named Subnet1 and Subnet2 Box 2: Yes A virtual network named ClientResources-VNet that will contain one subnet named ClientSubnet You plan to create a private DNS zone named humongousinsurance.local and set the registration network to the ClientResources-VNet virtual network.
Box 3: No
Only VMs in the registration network, here the ClientResources-VNet, will be able to register hostname records.
References:
https://docs.microsoft.com/en-us/azure/dns/private-dns-overview
NEW QUESTION: 3
When using vxassist to create a volume, what is the default unit of the parameter length?
A. bit
B. sector
C. cylinder
D. byte
Answer: A