There are many types of neural networks in deep learning. The following neural network information is one-way propagation:
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Which of the following is not included in the recurrent neural network usage scenario?
Which of the following statements about universal form recognition services are correct?
The trace operation returns the sum of the diagonal elements of the matrix. Therefore, the trace of matrix A and its transposed matrix are equal
During application development, which of the following operations is not a typical network definition?
From the perspective of technical architecture AI The classification of chips includes?
In the gradient descent algorithm, which of the following algorithms is the most confusing algorithm for the trajectory on the loss function surface?
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.
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 descriptions of the depth feedforward network is correct?
Feature is the dimension that describes the characteristics of the sample. Regarding its interpretability in traditional machine learning and deep learning, the following statement is correct:
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?
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?
Regular term can also be added to logistic regression to avoid overfitting.
Which of the following options is not the- session mode used by Tensorflow?
Generative confrontation networks are currently widely useD. The following scenarios can use this network?
What are the results returned by the if conditional statements in the Python language? (Multiple choice)
Artificial intelligence is currently suitable for scenarios with I' known environment, clear objectives, and predictable action ±. Deep learning in the fields of image recognition, speech recognition, translation, etc , artificial intelligence basically has human recognition ability. even surpassing human beings Based on these capabilities. it has been applied to many scenes such as medical care and public safety However, there is still a lack of reasoning and cognition
Atlas 800 AI There are multiple models of servers, of which the one based on the Kunpeng processor platform is?
Corvolutional neural networks are more suitable for dealing with speech recognition problems
What are the scenarios or industries that are suitable for using Python? (Multiple Choice)
Which of the following conditions do the randomized trials need to meet? (Multiple Choice)
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
Which of the following are the activation functions of deep learning algorithms?
Tensorflow is the second generation of artificial intelligence learning system developed by Google based on ( ).
HUAWEI HiAI Which module does the face detection in the platform belong to?
Which of the following are included in the application scenarios ofTensorflow? (Multiple choice}
Which of the following can optimization problem be classified according to the constraints? (Multiple choice)
K Folding cross-validation refers to dividing the test data set into K Sub-data sets.
In the classic convolutional neural network model,Softmax What hidden layer does the function follow?