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Question 53 - H13-311_V3.5 discussion

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Which of the following functions are provided by the nn module of MindSpore?

A.
Hyperparameter search modes such as GridSearch and RandomSearch
Answers
A.
Hyperparameter search modes such as GridSearch and RandomSearch
B.
Model evaluation indicators such as F1 Score and AUC
Answers
B.
Model evaluation indicators such as F1 Score and AUC
C.
Optimizers such as Momentum and Adam
Answers
C.
Optimizers such as Momentum and Adam
D.
Loss functions such as MSELoss and SoftmaxCrossEntropyWithLogits
Answers
D.
Loss functions such as MSELoss and SoftmaxCrossEntropyWithLogits
Suggested answer: C, D

Explanation:

The nn module in MindSpore provides essential tools for building neural networks, including:

C . Optimizers: such as Momentum and Adam, which are used to adjust the weights of the model during training.

D . Loss functions: such as MSELoss (Mean Squared Error Loss) and SoftmaxCrossEntropyWithLogits, which are used to compute the difference between predicted and actual values.

The other options are incorrect because:

A . Hyperparameter search modes (like GridSearch and RandomSearch) are typically found in model training and tuning modules, but not in the nn module.

B . Model evaluation indicators like F1 Score and AUC are also handled by specific evaluation functions or libraries outside the nn module.

HCIA AI

AI Development Framework: Detailed coverage of MindSpore's nn module, its optimizers, and loss functions.

Introduction to Huawei AI Platforms: Explains various MindSpore features, including network construction and training.

asked 26/09/2024
Taheireem Shaikh
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