## In the N-gram model, N refers to ignoring the effect of the above words with a distance greater than N. The larger the N, the richer the sequence information contained in the model, and the amount of calculation increases.

In the N-gram model, N refers to ignoring the effect of the above words with a distance greater than N. The larger the N, the richer the sequence information contained in the model, and the amount of calculation increases.A . TRUEB . FALSEView AnswerAnswer: A

## Image recognition tasks can be divided into three levels, according to the abstraction of the processing content, from low to high?

Image recognition tasks can be divided into three levels, according to the abstraction of the processing content, from low to high?A . Image processing, image analysis, image understandingB . Image analysis, image understanding, image processingC . Image understanding. Image analysis. Image ProcessingD . Image analysis, image processing, image understandingView AnswerAnswer:...

## When photographing a document with a mobile phone, the document in the image is distorted due to the shooting angle. You can find () coordinates of the corresponding key points, () transform the image, and correct the document image.

When photographing a document with a mobile phone, the document in the image is distorted due to the shooting angle. You can find () coordinates of the corresponding key points, () transform the image, and correct the document image.A . 4, AffineB . 4, perspectiveC . 3, perspectiveD . 3,...

## Which of the following options is the method of automatically calculating the gradient.

Which of the following options is the method of automatically calculating the gradient.A . Automatic differentiationB . Multivariate function differentiationC . Numerical differentiationD . Symbolic differentiationView AnswerAnswer: A

## What is the correct description about the Gaussian distribution curve?

What is the correct description about the Gaussian distribution curve?A . The Gaussian curve is bell-shaped, with both ends high and the middle lowB . The smaller the standard deviation, the flatter the curveC . The larger the standard deviation, the thinner and taller the curveD . The Gaussian curve...

## What is the number of parameters to be learned?

Use a 3*3 convolution kernel to convolve a three-channel color image. What is the number of parameters to be learned?A . 27B . 9C . 28D . 10View AnswerAnswer: A