Q232. Deep learning model training requires a large amount of data. In actual operation, random noise can be added to the training image data set through data enhancement technology to expand the sample size of the data set.

Q233. A function of opencv, save function, complete the code: cv. () (‘a.jpg’, im) fill in the blank to save the function

Q234. Machine learning is to automatically find patterns from data, but we need to divide the entire data set into a training set and a test set. The training set is used for training, and the test set is used to evaluate the generalization ability of the model.

Q235. When taking photos against the light, the face is relatively dark. Use gamma correction to enhance the image to achieve a clear effect even in backlight. What value of can be selected?

Q236. The smaller the sampling interval, the more pixels the resulting image will have and the higher the spatial resolution.

Q237. The gradient descent algorithm is used to update parameters and find the minimum point of the loss function. Its convergence point depends only on the cost function.

Q238. Which of the following descriptions of the depth and width of deep learning neural networks are correct? (Multiple choice)

Q239. In the NNLM model, what is the activation function used in the network output layer?

Q240. What problems of mean filtering can Gaussian filtering overcome?

Q241. Images with low grayscale levels have richer layers and can show more details than images with high grayscale levels.

Q242. What are the ways to initiate a REST API request?

Q243. What is the main function of the fully connected layer?

Q244. Which of the following options is the architecture adopted by Huawei’s Atlas series chips?

Q245. () The essence of the filter is to minimize the mean square value of the estimation error (defined as the difference between the expected response and the actual output of the filter), which can be applied to image restoration.

Q246. REST observes the entire network from the perspective of resources. The resources distributed everywhere are determined by which of the following?

Q247. The core problems of computer vision mainly include three categories: image recognition, () and image reconstruction.

Q248. When the human eye observes the world around it, the image of the object on the retina is inverted.

Q249. Which of the following steps is not included in the image preprocessing process?

Q250. When using ModelArts automatic learning to build a predictive analysis project, if the label column is numerical continuous data, which of the following is the label column data type and the model type to be trained?

Q251. The annotation work in data management support third-party annotation.

Q252. The XOR problem refers to the prediction of an output obtained through an XOR logic gate for two given binary inputs. When the inputs are not equal, the output is 1, otherwise the output is 0. ()