Which of the following description 1s wrong about the image recognition cloud service?
The following statement about recurrent neural networks is wrong?
Which of the following activation functions are prone to vanishing gradient problems?
What people say about neural networks is wrong?
The word recognition in the speech recognition service refers to the synchronous recognition of short speech. Upload the entire audio at once, and the recognition result will be returned in the response.
From the labeled historical data, we can predict that the retail sales of the next quarter will be in 20-30 Wan still 30-40 Ten thousand", What is the problem?
In the process of training the neural network, we use the gradient descent method to continuously update which value, which makes the loss Function minimization?A. Number of samples
B. Eigenvalues
C. Hyperparameter
D. parameter
Grid search is a method of parameter adjustment.
Linear algebra is a branch of algebra that deals with linear problems.
The linear relationship is that the relationship between exponential objects is expressed in ( ) times form?
Which of the following are AI Subfield?
The Python list can be identified by ‘[]”, and the default index of the first element from left to right is 1.
When training the network of God, we often encounter many problems. For the problem of vanishing gradient, we can choose to make. Which of the following functions to alleviate the problem?
HUAWEI CLOUD ModelArts Is for AI Which of the following functions are in the developed one-stop development platform Mode1Arts Can have?
The test error will keep getting smaller as the complexity of the model increases.
What are the conditions for m row n column matrix A and p row q column matrix B to be multiplied?
Huawei Machine learning Service MLS MLS is a one-stop platform that supports the entire process of data analysis. Which of the following is not a feature of MLS?
Training error will reduce the accuracy of the model and produce under-fitting. How to improve the model fit? (Multiple choice)
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
The following code was used when compiling the model:model.compile(optimizer='Adam,loss='categorical.crossentropy',metrics=[tf.keras.metrics.accuracy]), currently using evaluate When the method evaluates the
model, which of the following indicators will be output?
Which of the following is not an artificial intelligence school?
On Huawei Cloud EI Which of the following can be AI Technology is integrated into the application scenarios of all walks of life AI The advantages of technology to improve efficiency and improve experience.
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?
What is the English abbreviation for AI?
Which of the following can optimization problem be classified according to the constraints? (Multiple choice)
As the following, what are the Python language design philosophy? (Multiple Choice)
When we describe the house, we usually use the attributes such as residential area, house type, decoration type, etC. If we use plain With Bayes as a model, we assume that there is no relationship between attributes.
Among the following properties TensorFlow2.0 Does not support creation tensor. The method is?
Vector is a number.
Among the machine learning algorithms, the following is not an integrated learning strategy?
About Python correct tuple, which is correct description? (Multiple choice)
Which of the following about the gradient descent is incorrect?
tf.keras.datasets Can view keras The built-in data set.
The Python language can use the "#" at the beginning of a single line of code for code comments .
Deep learning is different from machine learning and there are no unsupervised algorithms
Which of the following is not a module in the Tensorflow library?
Which of the following options is not the Tensorflow build process?
In neural networks, which of the following methods are used to update the parameters when training the network to minimize the loss function?
The meaning of artificial intelligence was first proposed by a scientist in 1950, and at the same time a test model of machine intelligence was proposed Who is this scientist?
There are many commercial applications for machine learning services.
What are the main business scenarios covered? (Multiple Choice)
With a lot of sales data but no labels, companies want to identify VIP Customer, the following model Suitable?
Atlas accelerate AI What processor is used for inference?
What does factors that promote the development of artificial intelligence not include?
Deep learning neural network training requires a lot of matrix calculations. Generally, we need to use hardware to enable the computer to have parallel computing capabilities. The following hardware devices can provide
parallel computing capabilities.:
Which of the following are the characteristics of the Python language? {Multiple choice)
Huawei Ascend AI Chip is NPU (Neural network processor) One of the typical representatives.
In deep learning tasks, when encountering data imbalance problems, which of the following methods can we use to solve the problem?
From the perspective of technical architecture AI The classification of chips includes?
During application development, which of the following operations is not a typical network definition?
Python authors deliberately design very restrictive grammars that make bad programming habits (such as the next line of if statement not indented to the right) cannot be compiled
GAN is a deep learning model and one of the most promising methods for unsupervised learning in complex distribution in recent years.
Atlas 200 DK Yiteng 310 The main application of the chip is?
What are the common types of dirty data?
What quotation marks can the Python language use? (Multiple Choice)
TensorFlow2.0 not support tensor in GPU with CPU Transfer between each other.
The model composed of machine learning algorithms cannot represent the true data distribution function on a theoretical level. Just approach it.