Introduction to Artificial Intelligence答案2023秋

第四章测试

1. The forward propagation neural network is based on the mathematical model of neurons and is composed of neurons connected together by specific connection methods. Different artificial neural networks generally have different structures, but the basis is still the mathematical model of neurons.（ ）
A:对 B:错
答案:A
2. In the perceptron, the weights are adjusted by learning so that the network can get the desired output for any input. （ ）
A:对 B:错 3. Convolution neural network is a feedforward neural network, which has many advantages and has excellent performance for large image processing. Among the following options, the advantage of convolution neural network is （ ）.
A:Implicit learning avoids explicit feature extraction B:Weight sharing C:Translation invariance D:Strong robustness 4.In a feedforward neural network, information travels in which direction?（ ）
A:Forward B:Both A and B C:None of the above D:Backward 5.What is the main feature of a convolutional neural network?（ ）
A:They are used for speech recognition. B:They are used for natural language processing. C:They are used for reinforcement learning. D:They are used for image recognition. 6.Which of the following is a characteristic of deep neural networks?（ ）
A:They require less training data than shallow neural networks. B:They have fewer hidden layers than shallow neural networks. C:They have lower accuracy than shallow neural networks. D:They are more computationally expensive than shallow neural networks.