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Most H13-311_V3.5 Reliable Questions | Exam H13-311_V3.5 Sample

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Huawei H13-311_V3.5 (HCIA-AI V3.5) Certification Exam is designed to test the knowledge and skills of individuals in the field of artificial intelligence. HCIA-AI V3.5 certification exam covers a wide range of topics including machine learning, deep learning, neural networks, and natural language processing. It is a comprehensive exam that requires a solid understanding of AI concepts and technologies.

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HOT Most H13-311_V3.5 Reliable Questions - Huawei HCIA-AI V3.5 - Valid Exam H13-311_V3.5 Sample

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Huawei H13-311_V3.5 (HCIA-AI V3.5) Exam is a certification exam designed for IT professionals looking to validate their skills and knowledge in the field of Artificial Intelligence. H13-311_V3.5 exam focuses on key AI technologies, including machine learning, natural language processing, and computer vision. By passing H13-311_V3.5 Exam, candidates can demonstrate their ability to design and implement AI solutions using Huawei's AI technologies.

Huawei HCIA-AI V3.5 Sample Questions (Q57-Q62):

NEW QUESTION # 57
The commonly used loss functions in deep learning are?

A. Mean square error loss function
B. Cross entropy error loss function
C. Self-declining loss function
D. L1 Loss function

Answer: A,B

NEW QUESTION # 58
There are many types of neural networks in deep learning. The following neural network information is one-way propagation:

A. Recurrent neural network
B. Convolutional Neural Network
C. LSTM
D. GRU

Answer: B

NEW QUESTION # 59
What are the regularizations in deep learning? (Multiple Choice)

A. Dropout
B. Data set enhancement
C. L1 norm. L2 norm
D. Integration method

Answer: A,B,C,D

NEW QUESTION # 60
Faced with the challenge of achieving efficient distributed training for ultra-large-scale models, MindSpore is handled as?

A. Manual parallel
B. Serial
C. Automatic parallel

Answer: C

NEW QUESTION # 61
The following about the standard RNN Model, the correct statement is?

A. There will be a problem of attenuation of long-term transmission and memory information
B. There is no many-to-many model structure
C. There is no one-to-one model structure
D. Do not consider the time direction when backpropagating

Answer: A

NEW QUESTION # 62
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