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NEW QUESTION: 1
Which of the following are examples of hyperparameters? (Select 2 answers.)
A. Number of nodes in each hidden layer
B. Biases
C. Weights
D. Number of hidden layers
Answer: A,D
Explanation:
If model parameters are variables that get adjusted by training with existing data, your hyperparameters are the variables about the training process itself. For example, part of setting up a deep neural network is deciding how many "hidden" layers of nodes to use between the input layer and the output layer, as well as how many nodes each layer should use. These variables are not directly related to the training data at all.
They are configuration variables. Another difference is that parameters change during a training job, while the hyperparameters are usually constant during a job.
Weights and biases are variables that get adjusted during the training process, so they are not hyperparameters.
Reference: https://cloud.google.com/ml-engine/docs/hyperparameter-tuning-overview

NEW QUESTION: 2

A. zu hohe Menge
B. zu geringer Preis
C. zu geringe Menge
D. zu hoher Preis
Answer: D

NEW QUESTION: 3
会社には、自社運用サーバーとAWSクラウドの間に専用のネットワーク接続が必要です。
どのAWSサービスを使用する必要がありますか？
A. AWS VPN
B. Amazon Connect
C. AWS Direct Connect
D. Amazon API Gateway
Answer: C
Explanation:
Explanation
You can use AWS Direct Connect to establish a private virtual interface from your on-premise network directly to your Amazon VPC, providing you with a private, high bandwidth network connection between your network and your VPC. With multiple virtual interfaces, you can even establish private connectivity to multiple VPCs while maintaining network isolation.
Reference:
https://aws.amazon.com/directconnect/