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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 number of rows and columns of the three matrices A , B. and C is 3 rows and 2 columns, 2 rows. 3 columns. 3 rows and 3 columns. which of the following operations is meaningful?
Which of the following can improve the computational efficiency of the neural network model? (Multjple choice)
Global gradient descent algorithm, stochastic gradient descent algorithm and batch gradient descent algorithm are all gradient descent algorithms. The following is wrong about its advantages and disadvantages.
Which of the following about the dictionary in Python is correct? (Multiple Choice)
Which command can be checked Atlas 300 (3000) Whether the accelerator card is in place?
The number of hidden layers of the deep learning neural network has a certain impact on the performance of the network. The following statement about its impact is correct.: A. The number of hidden layers is
appropriately reduced, and the resolution ability of the neural network remains unchanged
B. Increase the number of hidden layers appropriately, the stronger the resolution ability of the neural network
C. The number of hidden layers is appropriately reduced, the stronger the resolution ability of the neural network is
D. The number of hidden layers increases appropriately, the weaker the resolution ability of the neural network
When the voice recognition service is successfully called, which field is the recognition result stored in?
Which of the following is not included in the recurrent neural network usage scenario?
L1 with L2 Regularization is a method commonly used in traditional machine learning to reduce generalization errors. The following is about the two. The right way is:
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?
enter 32*32 Image with size 5*5 The step size of the convolution kernel is 1 Convolution calculation, output image Size is:
Which of the following descriptions of the depth feedforward network is correct?
AI Chip is also called AI Accelerators are specially designed to handle a large number of computing tasks in artificial intelligence applications functional module.
Which of the following are included in the application scenarios ofTensorflow? (Multiple choice}
Which of the following steps in deep learning are automatically completed by the model?
In supervised learning," Those who are near Zhu are red and those who are near Mo are black"Is used to describe which of the following models?
TensorFlow It is an end-to-end open source platform for machine learning and deep learning.
The following are the description of the distribution function. distribution law. and density function of random variables.
which is incorrect?
Which of the following options are
Principal Component Analysis (PCA) is a statistical method. A set of variables that may be related to each other is transformed into a set of linearly related variables by orthogonal transformation
The converted set of variables is called the principal component
On-Device Execution, that is, the entire image is offloaded and executed, and the computing power of the Yiteng chip can be fully utilized, which can greatly reduce the interaction overhead, thereby increasing the
accelerator occupancy rate. On-Device The following description is wrong?
The current technology application directions of artificial intelligence mainly include?
In the deep learning network, the backpropagation algorithm is used to find the optimal parameters. What rules are used in the backpropagation algorithm to obtain the derivation layer by layer?
Tensorflow is the second generation of artificial intelligence learning system developed by Google based on ( ).
Huawei AI The full scenarios include public cloud, private cloud, various edge computing, IoT industry terminals, and consumer terminals and other end, edge, and cloud deployment environments.
In random forest, what strategy is used to determine the outcome of the final ensemble model?
Which of the following functions can numerically stabilize overflow and underflow?
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?
The for loop statement in the Python language can iterate through the items in any sequence.
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
The three stages of artificial intelligence include computational intelligence, () , Cognitive intelligence.
Which of the following conditions is not a condition that n-fold bernoulli trials needs to meet?
TESTED 23 Nov 2024
