Which of the following can improve the computational efficiency of the neural network model? (Multjple choice)
All convolution kernels of the same convolution layer in the convolutional neural network are weight-sharing.
compared to recurrent neural networks, convolutional neural networks are more suitable for image recognition problems.
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.
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