HCIA-AI V3.0
Last Update 3 days ago
Total Questions : 369
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In a neural network based on connectionism, each node can express a specific meaning.
Which of the following options is not a reason for traditional machine learning algorithms to promote the development of deep learning?
Artificial intelligence is a new technical science that studies and develops theories, methods and application systems for simulating, extending and extending human intelligence. It is one of the
core research areas of machine learning.
TensorFlow It is an end-to-end open source platform for machine learning and deep learning.
The naive Bayes algorithm does not require independent and identical distribution among sample features.
Python tuples are identified by "()'' and internal elements are separated by ":".
The following options belong to keras under estimator The encapsulation methods are?
As shown below, which are the following matrix A characteristic value? (Multiple choice)
What is the performance of artificial intelligence in the stage of perceptual intelligence?
Huawei AI The whole scenario includes public cloud, private cloud, various edge computing, IoT industry terminals and consumer. The deployment environment of terminal, edge, and cloud for fee-based terminals.
What are the steps that are not part of the operation of a Python file object?
Only matrix A and matrix B have the same number of rows and columns. A and B can be added.
With Atlas300 (3000)Install the accelerator card in the server DDK (Device Development Kit) Only need to install when dependent on the environment Python3.
From the perspective of technical architecture AI The classification of chips includes?
In a neural network, knowing the weight and deviations of each neuron is the most important step. If you know the exact weights and deviations of neurons in some way, you can approximate any function
What is the best way to achieve this?
The for loop statement in the Python language can iterate through the items in any sequence.
Which of the following can improve the computational efficiency of the neural network model? (Multjple choice)
In neural networks, weights are often share
D.
Which of the following neural networks will share weights?Reducing the gap between the training error and the test error will result in over-fitting How to prevent over-fitting? (Multiple Choice)
Machine Learning Service is a data mining and analytics platform service that helps users quickly discover data patterns and build predictive models through machine learning techniques and deploy them as predictive analytics solutions
Facing industry research and full scenarios AI The huge gap between applications, MindSpore Bridging the application gap to help inclusiveness AI Of technological innovation does not include which of the following?
During application development, which of the following operations is not a typical network definition?
What are the conditions for m row n column matrix A and p row q column matrix B to be multiplied?
Traditional machine learning and deep learning are the core technologies of artificial intelligence. There is a slight difference in the engineering process. The following steps. What you don’t need to do in deep learning is:
Regular term can also be added to logistic regression to avoid overfitting.
The correlation coefficient. also known as the linear correlation coefficient, is used to measure the linear relationship between two variables, which is a real number greater than zero
An e-commerce company has always had problems with official website stalls, poor utilization of network resources, and difficulty in operation and maintenance. Then which of the following can the company use EI
service?
All convolution kernels of the same convolution layer in the convolutional neural network are weight-sharing.
TRUE
FALSE
HUAWEI CLOUD EI Enable more use of corporate boundaries AI And big data services to accelerate business development and benefit society. HUAWEI CLOUD EI The service can serve the enterprise in the following
aspects?
The main computing resources included in the Da Vinci architecture computing unit are?
The matrix produced by the exchange of matrix A rows and columns is called the transpose of A . What are the correct properties of matrix transposition? (Multiple Choice)
In neural networks, which of the following methods are used to update the parameters when training the network to minimize the loss function?
Deep learning algorithms can be divided into supervised learning and unsupervised learning.
Not supported in the following options TensorFLow2.0 The attributes for dimensional transformation are.
The test error will keep getting smaller as the complexity of the model increases.
TensorFlow2.0 not support tensor in GPU with CPU Transfer between each other.
The following about the general form identification service returned type The field statement is correct?
About the image content review service returned when the call is successful suggestion Field, the correct statement is?
TESTED 04 May 2024
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